Abstract: There are provided system and method of classifying defects in a semiconductor specimen. The method comprises: upon obtaining by a computer a Deep Neural Network (DNN) trained to provide classification-related attributes enabling minimal defect classification error, processing a fabrication process (FP) sample using the obtained trained DNN; and, resulting from the processing, obtaining by the computer classification-related attributes characterizing the at least one defect to be classified, thereby enabling automated classification, in accordance with the obtained classification-related attributes, of the at least one defect presented in the FP image.

Abstract: The present disclosure generally relates to a new computer input and tracking device, and method of using, more particularly, a new type of digital pen which tracks user hand movements to generate series of point coordinates that represent a drawing or hand writing. Unlike prior digital pens such as the Apple Pencil™ or the Microsoft Surface Pen™, the new system does not require users to write on a touch-sensitive surface. Users can write on any surface such as a notebook, a table, a board, or even in mid air. Users can draw two-dimensional or three-dimensional drawings. The new method utilizes a pen marked with one or more groups of distinct tracking marks or tracking patterns and a camera to track the pen in real-time. A computer running a 3D algorithm processes the camera images, detects and distinguishes the tracking marks, and uses the tracking marks to calculate the positions of the tip of the pen in three-dimensional space.

Abstract: A method and a device for interacting with a touch sensitive surface includes a trigger and a contact point area associated with the touch sensitive surface; wherein the trigger is adapted to activate and/or deactivate one or more dynamic contact points defined within or adjacent to the contact point area to simulate one or more touch action of the touch sensitive surface.

Abstract: The electronic devices described herein are configured to enhance user experience associated with drawing or otherwise inputting shape data into the electronic devices. Shape input data is identified and matched against known shape patterns and, when a match is found, an entity associated with the shape is determined. The entity is converted into an annotation for rendering and/or displaying to the user. The shape identification, entity determination, and annotation conversion may all be based on one or more context elements to increase the accuracy of the shape interpretation. In particular, elements of conversations held via the electronic devices may be used as context for the shape interpretation. Further, machine learning techniques may be applied based on a variety of feedback data to improve the accuracy, speed, and/or performance of the shape interpretation process.

Abstract: Illustrative embodiments of the system allow users to write handwritten notes, such as to-do items and calendar events, and have them converted into online objects and actions by a handwriting parser engine. The handwriting is processed and converted into commands that execute online actions or create online objects, which can be local to a device (e.g., creating a calendar entry in a calendar program) or can involve actions using or taken over a communication system (e.g., creating a calendar entry in an online calendar, making a purchase from an online service, transmitting a text or email message, etc.).

Abstract: An API generation system can be used to generate complete (or almost complete) APIs in response to received requests for new or modified APIs. Received API generation requests can include API descriptive data which is augmented to generate a set of data requirements defining one or more inputs and outputs for the API. The API functions can be mapped to one of a set of reference data models defining data types as used by the backend system, and the mappings used to automatically generate an API design defining input and output parameters for each API function of the requested API. The API generation system then assembles a code foundation for the requested API based on a set of software components implementing a portion of the API function and generates API source code based on the code foundation to complete the requested API.

Abstract: An information processing apparatus includes a display controller, a detector, a corrector, and an adder. The display controller performs control to display an image on a horizontal screen. The detector detects a position of a user. The corrector corrects an image in accordance with an operation performed on the horizontal screen by a user. The adder adds the image corrected by the corrector to the horizontal screen in accordance with the position of the user and an orientation of the horizontal screen.

Abstract: The present disclosure relates to a method and system of processing original handwriting input, the system and method being capable of recognize a plurality of strokes provided on the input recognition interface, the method including: determining a stroke box around each stroke; determining overlap between the stroke boxes; correlating overlapping stroke boxes to one or more characters; providing a character box around each of the one or more characters; determining overlap between character boxes; correlating overlapping character boxes to one or more words; providing a word box around each of the one or more words; provide a word margin around each of the one or more word boxes; determining overlap between each word box to determine a line; wherein each of the characters, words, or lines can be individually selected and rearranged, the system automatically adjusting spacing or placement of surrounding elements to allow for the rearrangement.

Abstract: Various embodiments relate to an electronic device including a button and a method for an operation in the electronic device. The electronic device may include: an elongated housing comprising a first end and a second end; a dielectric tip disposed at the first end; a button arranged on an outer surface of the housing; a first circuit connected to the dielectric tip and configured to receive a first electromagnetic signal from a touchscreen display of an external device and to transmit a second electromagnetic signal to the display of the external device; a second circuit configured to wirelessly receive and transmit a third signal; and a control circuit operatively connected to the first circuit and the second circuit.

Abstract: In one embodiment, a method includes receiving a user request from a first user from a client system associated with a first user, wherein the user request comprise a gesture-input from the first user and a speech-input from the first user, determining an intent corresponding to the user request based on the gesture-input by a personalized gesture-classification model associated with the first user, executing one or more tasks based on the determined intent and the speech-input, and sending instructions for presenting execution results of the one or more tasks to the client system responsive the user request.

Abstract: Computing systems and related methods are provided for performing database actions responsive to input gestures made by a user. One exemplary method involves a server identifying a gesture on a graphical user interface display on a client device, identifying a subset of displayed content on the graphical user interface display corresponding to the gesture, determining a database action based on at least one of characteristics associated with the gesture and the gestured content, performing the database action with respect to an object in a database, and updating the gestured content on the graphical user interface display to reflect performance of the database action.

Abstract: Computer-implemented techniques for sematic image retrieval. According to one technique, digital images are classified into N number of categories based on their visual content. The classification provides a set of N-dimensional image vectors for the digital images. Each image vector contains up to N number of probability values for up to N number of corresponding categories. An N-dimensional image match vector is generated that projects an input keyword query into the vector space of the set of image vectors by computing the vector similarities between a word vector for the input query and a word vector for each of the N number of categories. Vector similarities between the image match vectors and the set of image vectors can be computed to determine images semantically relevant to the input query.

Abstract: In an embodiment, a computer-implemented method comprises: displaying a particular view of a plurality of views of a continuous content stream of individually actionable content items; wherein the plurality of views, each including a different subset of the individually actionable content items, responds to different sets of signaling gestures; automatically recognizing, while the continuous content stream is being displayed, a mode change from a control mode to a signal mode in the particular view of the plurality of views; receiving a touch input in the particular view of the plurality of views and, in response, generating output data indicating a signaling gesture classification that is accepted by the particular view and is for the touch input; updating, according to the output data, the particular view of the plurality of views; wherein the method is performed by one or more computing devices.

Abstract: Techniques for cache management may include: receiving pages of data having page scores, wherein each of the pages of data is associated with a corresponding one of the page scores, wherein the corresponding page score associated with a page of data is determined in accordance with one or more criteria including one or more of a deduplication score, a compression score, and a neighbor score that uses a popularity metric based on deduplication related criteria of neighboring pages of data; and storing the page of data in a cache in accordance with the plurality of page scores. The cache may include buckets of pages where each bucket is associated with a different page size and all pages in the bucket are the different page size. The one or more criteria may also include an access score. The page scores may be based on multiple criteria that is weighted.

Abstract: The present disclosure relates to a handwritten signature authentication system and method. More particularly, the present disclosure provides a system and method of authenticating a handwritten signature based on dynamic movement tracking of spatial-division segments, in which handwritten signature authentication is performed by handwritten signature characteristics information (i.e.

Abstract: A signature input device according to an embodiment includes a sign pad configured to output an electronic signature, an input pen configured to input the electronic signature to the sign pad, a three-dimensional position acquisition sensor configured to acquire three-dimensional position information of the input pen, and a control section configured to determine, if the input pen is separated from the sign pad, whether an electronic signature input support instructing motion is included in the three-dimensional position information and, if the electronic signature input support instructing motion is included, perform electronic signature input support processing on the electronic signature.

Abstract: Provided are an artificial intelligence (AI) system and an application thereof, which simulate functions of a human brain, such as recognition and determination, by using a machine learning algorithm, such as deep-learning. A method of processing, by a device, a keyboard input, based on training, may include: displaying a keyboard on a screen of the device; receiving a swipe input of a user, the swipe input connecting a plurality of keys on a displayed keyboard; extracting a trajectory connecting the plurality of keys; applying, to a trained model for a keyboard input, based on the trajectory, trajectory information indicating a shape of the trajectory and a relative position of the trajectory with respect to the keyboard; and determining at least one character corresponding to the trajectory, based on a result of the applying the trajectory information.

Abstract: The present invention provides an electronic apparatus and an information processing method that allow a user who uses a writing tool to perform write actions such as writing a letter and drawing a picture to learn and improve skills while being highly motivated and having fun. An electronic apparatus according to an embodiment of the present disclosure includes: a pen-type main body having a writing function or a main body attachable to a writing tool; a detection part provided in the main body for detecting frequency of a writing action of a user; a storage part for storing data including at least any of image data and numeric data; and a control part that performs control to select image data or numeric data from the storage part corresponding to the frequency detected by the detection part and to display an image based on the selected image data or numeric data on a display part.

Abstract: An image distribution device receives, from a terminal device, a handwritten and input image including a trajectory handwritten and inputted by a first user in a state where a virtual space, in which characters of the first and a second user are present, is set as a background, to a display view of the terminal device on which the virtual space is displayed. By transmitting, to the terminal device, the received handwritten and input image as a message from the first user, the image distribution device displays the handwritten and input image on the display view of the terminal device on which the virtual space is displayed while associating the handwritten and input image with the character of the first user.

Abstract: A system for inputting and processing handwritten, multi-character text may comprise a handwriting recognition subsystem, a word completion subsystem, and an audio feedback system. The handwriting recognition system may be configured to capture a series of handwritten characters formed by a user and to convert the handwritten characters into a set of candidate partial text strings. The word completion subsystem may be configured to identify if a candidate partial text string constitutes a word segment and if so, generate one or both of (i) at least one clarifying word and (ii) at least one clarifying phrase that includes the clarifying word. The word segment may be an arbitrary string and not correspond to a valid complete word in a language associated with the system. The audio feedback subsystem may be configured to produce an audio representation of the word segment(s), the clarifying word(s), and the clarifying phrase(s).

Abstract: A drawing device draws stroke data including a plurality of control points. The drawing device includes at least one processor; and at least one memory device storing at least one program that, when executed by the at least one processor, causes the drawing device to: generate intermediate data formed from movement of the stroke data by moving each of the plurality of control points, and control a display device to sequentially draw at least the generated intermediate data.

Abstract: This application relates to the field of artificial intelligence technologies, and in particular, to a training method of an image-text matching model, a bi-directional search method, and a relevant apparatus. The training method includes extracting a global feature and a local feature of an image sample; extracting a global feature and a local feature of a text sample; training a matching model according to the extracted global feature and local feature of the image sample and the extracted global feature and local feature of the text sample, to determine model parameters of the matching model; and determining, by the matching model, according to a global feature and a local feature of an inputted image and a global feature and a local feature of an inputted text, a matching degree between the image and the text.

Abstract: A display device is provided. The display device includes a display, a first communicator configured to communicate with an external device, a second communicator configured to communicate with a remote controller, and a processor configured to control the display to display an image corresponding to an image signal received from the external device through the first communicator, and the processor, in response to a control signal being received from the remote controller through the second communicator while the image is displayed on the display, controls the display to display a user interface (UI) for changing a channel, and in response to the control signal being received from the remote controller through the second communicator while an image which includes a specific object is displayed on the display, controls the display not to display the UI for changing a channel.

Abstract: An input processing method executed by a computer includes receiving a handwriting input on a display screen on which a character is displayed; and in response to detecting that the handwriting input has been performed at a position corresponding to a display position of a specific character displayed on the display screen, executing a process of changing the specific character into a character recognized with respect to the handwriting input.

Abstract: A computing device is disclosed which includes a processor and non-transient memory operably connected to the processor. The non-transient memory includes instructions that, when executed by the processor cause the processor to extract a plurality of sub-strings from a character string, analyze each sub-string for compliance with each of several field definitions, where each of the field definitions corresponds to a field in a digital form, and populate some of the fields in the digital form based on the analysis of each sub-string for compliance with the field definitions.

Abstract: A method of compressive read mapping. A high-resolution homology table is created for the reference genomic sequence, preferably by mapping the reference to itself. Once the homology table is created, the reads are compressed to eliminate full or partial redundancies across reads in the dataset. Preferably, compression is achieved through self-mapping of the read dataset. Next, a coarse mapping from the compressed read data to the reference is performed. Each read link generated represents a cluster of substrings from one or more reads in the dataset and stores their differences from a locus in the reference. Preferably, read links are further expanded to obtain final mapping results through traversal of the homology table, and final mapping results are reported. As compared to prior techniques, substantial speed-up gains are achieved through the compressive read mapping technique due to efficient utilization of redundancy within read sequences as well as the reference.

Abstract: A system and method for the capture, storage and usage of specific insurance underwriting and/or loss validation data includes a handheld mobile computer device containing one or more master forms in which insurance data is entered into the handheld device, normally at the location of the insured home along with an electronic signature of the insured and a geocode and time/date stamp. The data is uploaded to a secure, structured database. Insurance data can also be entered, in a secure manner, via a customer portal by the insured or from third party data sources. The system includes software with the ability to pre-populate standardized underwriting forms based on the collected data. The system also manages electronic insurance quotes and bind orders as well.

Abstract: In some aspects, computer-implemented methods for selecting a robotic tool path for a manufacturing processing system to execute a material processing sequence in three-dimensional space can include: providing to a computer-readable product including robotic system data of a robotic tool handling system and workpiece data relating to a processing path of a tool along the workpiece; generating a plurality of possible robotic tool paths to be performed to move the tool along the processing path; identifying one or more obstacles, or an absence of obstacles, associated with the robotic tool paths; comparing robotic tool paths based on a predetermined robotic parameter to be controlled as the tool moves from the start point to the end point; and based on the identified obstacles, determining feasible tool paths, between the start point and the end point that avoid the obstacles, that can be obtained by adjusting the predetermined robotic parameter.

Abstract: Handwriting learning apparatuses and associated methods that facilitate the ability of a user to learn how to correctly and/or preferably form at least one character are disclosed. In an aspect, handwriting learning apparatuses and associated methods of use are disclosed that comprise at least one substantially flat at least partially rigid medium within which one or more segments of one or more characters may be defined by one or more grooves. At least one protruding element may extend outwardly from at least one portion of at least one inner surface of the grooved character(s) at an angle such that when the user attempts to use an elongated insertion device to trace the grooved character segment(s), the insertion device may only slide in one single direction. This may help prevent users, such as children and other students, from forming characters incorrectly (e.g.

Abstract: An information processing apparatus comprises a conversion unit configured to convert an element array, in each region set so as to partially overlap at least one set of adjacent regions in input data, into a lower dimension element array of which dimension is lower than that of the element array; a generation unit configured to generate a connected element by connecting some or all of the lower dimension element arrays converted by the conversion unit so that an overlapping portion in each of the lower dimension element arrays will be shared; and a calculation unit configured to obtain a feature amount of the input data based on convolution of the connected elements and a weight coefficient.

Abstract: Implementations of the present specification provide classification and indexing methods and devices, and methods and devices for querying similar samples. During classification, the samples in the sample set are clustered at two levels, and the clustering results are recorded in a first vector table and a second vector table. During indexing, indexes are established at two levels for each sample in the sample set, where the first level index points to a coarse cluster center to which the sample belongs, and the second level index points to a segment cluster center corresponding to a segment vector of the sample. During query of similar samples, searches are performed at two levels on the query samples. The first-level search is to determine a coarse cluster center that is closer to the query sample from the first vector table obtained through classification, and obtain comparison samples that belong to the coarse cluster center.

Abstract: Computer-implemented systems and methods are provided for improved generation and control of conversations. A computing device is utilized to control or simulate conversation using estimated contextual cues extracted from profile information or prior responses. The computing device is configured to automatically tailor a flow of a conversation to an effort to improve relevancy and engagement without the need of a human operator to manually tailor the conversation, which, for example, could be impractically expensive. A structured workflow is maintained in the form of a series of conversation decisions, and a machine learning engine is utilized to maintain a continuously trained data structure that generates predictions that bias conversation decisions (e.g., by weighting tree options) for tailoring the conversation flow.

Abstract: Writing recognition using a wearable pressure sensing device includes receiving pressure measurement data from a pressure sensor disposed upon a body part of a user. The pressure measurement data is indicative of a change in pressure of the body part due to an interaction of the body part with a medium indicative of a writing gesture by the user. A start boundary and end boundary for each of a plurality of writing symbols is detected based upon the pressure measurement data. At least one feature of the pressure measurement data associated with the plurality of writing symbols is extracted. A symbol pattern is detected based upon the extracted features, and at least one letter is detected based upon the symbol pattern. A word is detected based upon the detected at least one letter.

Abstract: A character recognition method and apparatus are disclosed, relate to the field of image recognition technologies, reduce a calculation time, and increase character recognition efficiency.

Abstract: Systems and methods for intelligent traffic stop classifier loading are provided. A processor may receive a plurality of inputs related to a current context of a law enforcement officer. Based on the plurality of inputs, it may be determined that the current context of the law enforcement officer is a vehicle traffic stop. An image classifier may be loaded onto an image capture device associated with the law enforcement officer based on the vehicle traffic stop determination. An object type associated with the image classifier may be scanned for using the image classifier loaded onto the image capture device.

Abstract: Systems and methods for facilitating processing of cardiac information based on sensed electrical signals include a processing unit configured to receive a set of electrical signals; receive an indication of a measurement location corresponding to each electrical signal of the set of electrical signals; and generate, based on at least one of an annotation waveform corresponding to each electrical signal of the set of electrical signals and a set of annotation mapping values, an annotation histogram.

Abstract: A method for identifying a live ink presence for real-time collaboration can include assigning a presence identifier to a grouping of ink strokes in a shared inking canvas received from a particular user participating in a collaboration session; receiving a new ink stroke to the shared inking canvas from the particular user; and determining whether the new ink stroke is within a certain distance from previous ink strokes associated with the presence identifier. When the new ink stroke is not within the certain distance, the method includes assigning a new presence identifier the new ink stroke in the shared inking canvas, determining a location in the shared inking canvas for displaying a presence indicator, and displaying the presence indicator at the location; else, the method includes changing an existing location for a corresponding presence indicator according to a distance of the new ink stroke from the existing location.

Abstract: A computing device is disclosed which includes a processor and non-transient memory operably connected to the processor. The non-transient memory includes instructions that, when executed by the processor cause the processor to extract a plurality of sub-strings from a character string, analyze each sub-string for compliance with each of several field definitions, where each of the field definitions corresponds to a field in a digital form, and populate some of the fields in the digital form based on the analysis of each sub-string for compliance with the field definitions.

Abstract: A computing device includes a digital ink system that provides digital ink support to applications on the computing device. Digital ink inputs are received by the digital ink system, which provides ink stroke data for the digital ink inputs to the application for storage in a manner and format the application desires. The digital ink system also generates a digital ink container associated with the digital ink input, and communicates the digital ink container to a digital ink repository. The digital ink repository stores digital ink containers for multiple applications, and can be searched from a computing device to identify digital ink input to an application regardless of which application the digital ink was input to.

Abstract: In one embodiment, a method includes accessing a plurality of input tuples associated with a first user from a data store, wherein each input tuple comprises a gesture-input and a corresponding speech-input, determining a plurality of intents corresponding to the plurality of speech-inputs, respectively, by a natural-language understanding (NLU) module, generating a plurality of feature representations for the plurality of gesture-inputs based on one or more machine-learning models, determining a plurality of gesture identifiers for the plurality of gesture-inputs, respectively, based on their respective feature representations, associating the plurality of intents with the plurality of gesture identifiers, respectively, and training a personalized gesture-classification model for the first user based on the plurality of feature representations of their respective gesture-inputs and the associations between the plurality of intents and their respective gesture identifiers.

Abstract: Provided are a signal processing system and a signal processing method for sensors of a vehicle. More particularly, the signal processing system includes: a vehicle sensor unit 100 including the plurality of sensors previously provided in the vehicle and transmitting sensing information acquired through the sensors; an arithmetic and control unit 200 receiving sensing information from the vehicle sensor unit 100, and comparing and analyzing the received sensing information to discriminate only normal sensing information from the sensing information and set and transmit the normal sensing information as output information; and a display unit 300 including a plurality of displays previously provided in the vehicle, transmitting the output information received from the arithmetic and control unit 200 to the matched display of the plurality of displays, and outputting the output information through the matched display of the plurality of displays.

Abstract: An image processing apparatus and method, an image processing system and a training method are disclosed. The image processing method comprises: receiving an input image; and inputting the input image to K stages of cascaded decoding units, to process the input image to obtain an output image, wherein an ith stage of decoding unit receives mK+1?i input images and outputs mK?i output images, a resolution of the output images is greater than a resolution of the input images, and the number of image components of the output images is less than the number of image components of the input images, where K, i and m are positive integers and 1?i?K.

Abstract: Computer-implemented techniques for sematic image retrieval are disclosed. Digital images are classified into N number of categories based on their visual content. The classification provides a set of N-dimensional image vectors for the digital images. Each image vector contains up to N number of probability values for up to N number of corresponding categories. An N-dimensional image match vector is generated that projects an input keyword query into the vector space of the set of image vectors by computing the vector similarities between a word vector for the input query and a word vector for each of the N number of categories. Vector similarities between the image match vectors and the set of image vectors can be computed to determine images semantically relevant to the input query.

Abstract: Systems, methods, and software are disclosed herein for presenting an overlay canvas in response to receiving an editing gesture to existing text on a canvas. In an implementation, user input is received comprising an inking gesture associated with existing text displayed on a canvas in a user interface. The inking gesture is then determined to comprise any of a plurality of editing gestures. In response to the inking gesture comprising an editing gesture, an overlay canvas is presented above the canvas in the user interface. Additional user input is received comprising inking on the overlay canvas. The inking is then incorporated into the existing text on the canvas.

Abstract: A vehicle includes a display for providing a character input interface, a touch input apparatus for sensing a plurality of sub gestures sequentially through a touch portion, and a controller for controlling the character input interface to display, when a difference between a direction of a first sub gesture of the plurality of sensed sub gestures and a direction of a second sub gesture sensed within a first delay time period starting at a time at which the first sub gesture ends is greater than or equal to a reference direction difference, a character corresponding to a gesture including the first sub gesture and the second sub gesture.

Abstract: While displaying one or more views of a first software application, an electronic device detects a sequence of touch inputs. The electronic device, in accordance with a determination that no gesture recognizer of the first software application recognizes a portion of the sequence of touch inputs, delivers the sequence of touch inputs to the second software application, and in accordance with a determination that at least one gesture recognizer in the second software application recognizes the sequence of touch inputs, processes the sequence of touch inputs with the at least one gesture recognizer in the second software application that recognizes the sequence of touch inputs.

Abstract: An multifunction peripheral includes a font dictionary data configured to include an italic font and a non-italic font for each character code, a determination method selection unit that selects, from a plurality of italic determination methods that are used for italic determination for the character, the italic determination method that is associated with the character code that has been acquired, an italic determination unit that determines whether or not the character in the image data is italic using the italic determination method that has been selected by the determination method selection unit, and a font specifying unit that specifies a font of the character by checking the character that has been determined to be italic by the italic determination unit only with the italic font and checking the character that has been determined to be non-italic only with the non-italic font.

Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.

Abstract: A computerized writing evaluation and training method is provided. First, a display interface unit displays a template text, and then, a writing input interface accepts a written text written by a writer, and afterwards, a processing unit segments the written text according to a stroke or a turning point and divides each stroke of the template text and the written text into a line segment or a short arc, and finally, the processing unit compares each stroke information of the template text and the written text and determines whether the written text is correctly written.

Abstract: A method, computer system, and a computer program product for altering a written communication based on a dress style associated with a recipient is provided. The present invention may include receiving a plurality of visual data associated with the recipient. The present invention may also include analyzing the received plurality of visual data. The present invention may then include determining the dress style associated with the recipient based on the analyzed plurality of visual data. The present invention may further include retrieving a writing style associated with the recipient from a knowledge base based on the determined dress style. The present invention may also include generating a plurality of writing guidelines based on the retrieved writing style associated with the recipient.