Abstract: A computer-implemented method for creating an image product by accurately grouping faces includes receiving an initial set of face groups for a plurality of face images, training classifiers between pairs of face groups in the initial set of face groups using image-product statistics by a computer processor, classifying the plurality of face images by classifiers to output binary vectors for the plurality of face images by the computer processor, calculating a value for an improved similarity function using the binary vectors for each pair of the plurality of face images, grouping the plurality of face images into modified face groups based on values of the binary similarity functions by the computer processor, and creating an image product based at least in part on the modified face groups.

Abstract: Techniques for object detection include training a first classifier to detect an object based on textural features and a second classifier to detect the object based on textural features and spectral features. A classifier relationship between the two classifiers is learned and used with the first classifier to detect other objects. If desired, the performance of the object detector can be improved by comparing the results of detecting objects with the first classifier and the classifier relationship versus detecting objects with the first and second classifier together, and modifying the classifier relationship based upon the comparison.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a set of regions corresponding to a geographical area. A collection of training images can be acquired. Each training image in the collection can be associated with one or more respective recognized objects and with a respective region in the set of regions. Histogram metrics for a plurality of object categories within each region in the set of regions can be determined based at least in part on the collection of training images. A neural network can be developed based at least in part on the histogram metrics for the plurality of object categories within each region in the set of regions and on the collection of training images.

Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.

Abstract: A method for calibrating a printer is disclosed. The method includes receiving data corresponding to a Reference curve for the printer, receiving data corresponding to a Measurement curve representing a current response for the printer and generating a Target curve that follows the Reference curve and transitions to the Measured curve.

Abstract: Provided is an image forming system having a simple buffer mechanism and capable of preventing paging disorder when image-formed sheets are fed to a processing section. The present invention is featured in that an image forming order of a plurality of sheets to be made to stand by in a buffer section of a conveying path for guiding the sheets to a processing section is made different from an image forming order of sheets that are not made to stand by. To realize this, the system includes an image forming section, an accumulating section that accumulates image-formed sheet for processing, a conveying path along which the sheet is conveyed from the image forming section to the accumulating section, a buffer section disposed in the conveying path, in which the sheet to be fed to the accumulating section is made to temporarily stay, and a control section that controls the image forming section and the accumulating section.

Abstract: Methods, systems, and computer-program products for optimizing SRE (Super Resolution Encoding) patterns. A hierarchical self-organizing pattern map (HSOPM) of SRE patterns can be derived, which illustrates interrelationships between consecutive SRE patterns. Such a hierarchical self-organizing map provides a first level of hierarchy, a second level of hierarchy, etc. Different weights can be assigned to different synthesis of traversal (SoT) according to the second level of hierarchy. The likelihood of the SRE patterns can then be calculated based on a fitness of continuity and the different weights, so as to subsequently select and encode an allowed number of the SRE patterns while replacing other patterns with a lower likelihood value with an immediate root and thereby adaptively optimize any number of the SRE patterns with respect to any number of values.

Abstract: Provided is an estimation apparatus including a storage unit that stores an estimation model for estimating transport failure information pertaining to a transport failure based on information pertaining to a transit time in which each of plural papers with different characteristics passes through a certain transport section in a transport path and information pertaining to a utilization of each of the plural papers for each of plural image processing apparatuses, an acquisition unit that acquires the characteristics of the paper, information pertaining to the transit time of the paper, and information pertaining to the utilization of the paper for the image processing apparatus that is the estimation target, and an estimation unit that estimates the transport failure information using the estimation model based on the acquisition results of the acquisition unit.

Abstract: A method of personalization for at least two cards (10), each card including a first side, a second side, and a peripheral surface, includes the following steps: forming a pile (20) of at least two cards by stacking the first side or the second side of an article (n) such that the first surface or the second surface of the following card (n+1) is in contact with the first side or the second side of the card (n); aligning, via an alignment device (32, 34) at least one element of the peripheral surface of the card (n) with at least one element of the peripheral surface of the following card (n+1) such that at least one element of the set of peripheral surfaces of each card forms at least one uniform surface; applying, via an application device, at least one product on at least one element of the uniform surface.

Abstract: An identity card, comprising a card body and a physical unclonable function are arranged within the card body, wherein the physical unclonable function comprises a first light influencing layer and a second light influencing layer.

Abstract: The present invention provides integrated circuit chips having chip identification aspects. The chips include magnetic tunnel junction (MTJ) structures, and more specifically, include permanent bit strings used for chip identification and/or authentication. Systems and processes for chip identification are also disclosed herein. The MTJ element structures provided herein can have a defined resistance profile such that the intrinsic variability of the MTJ element structure is used to encode and generate a bit string that becomes a fingerprint for the chip. In some embodiments, an oxygen treatment covering all or a selected portion of an array of MTJ elements can be used to create a mask or secret key that can be used and implemented to enhance chip identification.

Abstract: A passive tag embedded in a package includes multiple conductive coils. A first coil receives radio frequency (RF) energy used to power the tag. Additional coils receive and/or transmit data signals, clock signals, and carrier signals. The RF energy and other signals may be at different frequencies. An RF probe includes a first coil to emit the RF energy to power the tag. The RF probe includes additional coils corresponding to the additional coils in the tag. The RF probe may turn off the RF signal used for power during communication. The RF energy may be rectified to provide DC power to circuits in the tag, or may be used directly for adiabatic circuits. The RF probe and the package may have complementary shapes to facilitate alignment of the coils.

Abstract: A memory card and a communication method between a memory card and a host unit are disclosed. High throughput of data between the memory card and the host unit is guaranteed by providing a communication interface between the memory card and the host unit including a first communication interface between a memory unit of the memory card and a control unit of the memory card and a second communication interface between the control unit of the memory card and the host unit.

Abstract: An electronic tag includes a baseboard, a printed layer, a radio frequency identification (RFID) chip, and an adhesive layer. The baseboard includes a first surface and a second surface opposite to the first surface. The printed layer is disposed on the first surface of the baseboard and serves an antenna of the electronic tag. The RFID chip is secured on the baseboard. The adhesive layer is disposed on the second surface of the baseboard and is configured to detachably adhere to an object. The RFID chip and the printed layer are electronically interconnected for cooperatively receiving/transmitting wireless signals.

Abstract: A Radio Frequency Identification (RFID) IC may have raised contact islands that include conductive contact pads covering a repassivation layer. The raised contact islands are formed by removing part or all of the repassivation material surrounding the raised contact islands. The repassivation material that is not covered and protected by the contact pads may be removed by a strip process that also removes a masking layer used for IC etching. Singulated RFID ICs may be assembled into an RFID tag using a B-stage adhesive that is applied to the ICs and then partially cured. The ICs are deposited onto preheated inlays. The preheated inlays cause the B-stage adhesive on the ICs to bind to the inlays.

Abstract: An RFID webstock containing a relatively high pitch-density array of semiconductive chips is provided and joined to a web bearing relatively widely spaced antennas in a continuous process. The RFID webstock is separated or cut into individual chip sections, with the spacing of the chips being increased as the RFID webstock is die cut. The individual chips on the sections are then joined to corresponding antennas to form an RFID inlay stock. This process is conducive to high speed roll-to-roll production of RFID tag and label roll stock.

Abstract: Using a recurrent neural network (RNN) that has been trained to a satisfactory level of performance, highly discriminative features can be extracted by running a sample through the RNN, and then extracting a final hidden state hi, where i is the number of instructions of the sample. This resulting feature vector may then be concatenated with the other hand-engineered features, and a larger classifier may then be trained on hand-engineered as well as automatically determined features. Related apparatus, systems, techniques and articles are also described.

Abstract: In one embodiment, the present invention provides a method comprising propagating a first set and a second set of axonal firing events through a symmetric core circuit in a first direction and a second direction, respectively. The symmetric core circuit comprises a first core module and a second core module, and each core module comprises an interconnection network for interconnecting multiple electronic neurons with multiple electronic axons. The method further comprises, for at least one neuron, receiving an axonal firing event via an interconnected axon, and, for at least one neuron, generating a neuronal firing event according to a neuronal activation function. Each core module of the symmetric core circuit has a corresponding adaptive lookup table, the corresponding adaptive lookup table used to determine target axons for neuronal firing events generated by neurons in the core module.

Abstract: Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.

Abstract: A system and computer-implemented method for determining a threat level for one or more individuals includes accessing a data structure to obtain aggregated data stored therein, wherein the aggregated data comprises at least one of communication history data or transaction history data for one or more individuals. One or more predetermined metrics are applied to the obtained aggregated data, to determine threat level information for the one or more individuals. The determined threat level information is provided for display.

Abstract: The present invention is directed towards methods and computer readable media for annotating and ranking user reviews on social review systems with inferred analytics. A reference framework is provided by creating context according to previous activity, bias, or background information of a given reviewer. The method of the present invention comprises receiving a first query identifying a given content item, generating a collection of content items based on one or more identical objective attributes associated with the given content item, identifying one or more subjective attributes associated with a given item in the collection of items, and providing a reference framework to interpret the subjective attributes associated with each item in the collection.

Abstract: A system, method and computer program product for scalable, rule-based processing, including an automaton builder for constructing automatons corresponding to trigger rules and word lists that are employed by the trigger rules, and a rule evaluator for evaluating any of the trigger rules with respect to an input document by selecting any of the automatons to evaluate a given one of the trigger rules, parsing the input document using the selected automatons, determining whether conditions of the given trigger rule are met, and identifying any actions that are associated with the given trigger rule.

Abstract: A classification application identifies patterns and evidences within representative documents. The application constructs a classification rule according to an entity and an affinity determined from the patterns and evidences. The application processes the representative documents with the classification rule to evaluate whether the rules meet acceptance requirements. Subsequent to a successful evaluation, the application identifies confidence levels for patterns and evidences within other documents.

Abstract: Operational characteristic I/O patterns of each storage volume of a storage volume group, and at least one operational characteristic of each storage volume associated with an application, are determined. Unsupervised learning is used to form clusters of storage volumes of similar characteristics. Labels are generated, assigned, and aggregated for each characteristic of each storage volume. Templates are received that includes labels of storage volume characteristics of known application types. An application type associated with the storage volume group is inferred, based on a best-fit match of the aggregate labels of the storage volumes of the storage volume group to the labels included in the templates of storage volume characteristics of known application types.

Abstract: Systems and methods of searching for related data sets are provided. Multivariate data sets can be input as queries into a data set search engine. According to one embodiment, the input data set is automatically reduced to a set of best fit data models of minimum complexity that represent the data set. The data model is then compared to other data models to not only identify similarity between the models, but also to identify the particulars of why the data models are related. The search engine can be configured to return sets of data models as results from the search on the input data set. Results can be organized on data model type and/or information scores. Results can also be displayed graphically as a topographical map of nodes and edge. Each node can represent a data model and each edge can reflect the similarity between the nodes.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: A test circuit includes a phase difference detection unit and a determination unit. The phase difference detection unit detects a phase difference between a first signal received through a first pad and a second signal received through a second pad. The determination unit compares the detected phase difference with a preset amount of delay and outputs a result signal.

Abstract: Techniques for improving the performance of a quantum processor are described. Some techniques employ improving the processor topology through design and fabrication, reducing intrinsic/control errors, reducing thermally-assisted errors and methods of encoding problems in the quantum processor for error correction.

Abstract: In one exemplary embodiment, a method of a computerized media-content recommender includes receiving a user-judgment score based on an historical user-listening data with respect to a media content. A first prediction score for a user with respect to the media content is calculated with a media-content recommender. The media-content recommender includes a first set of prediction parameters. A first prediction error including a difference between the user-judgment score and the first prediction score is determined. At least one parameter value of the first set of prediction parameters is modified with a machine-learning optimization technique to generate a second set of prediction parameters. A second prediction score for the user with respect to the media content is calculated with a media-content recommender. A second prediction error including a difference between the user-judgment score and the second prediction score is calculated.

Abstract: Monitoring health of dynamic systems includes using speaker recognition techniques. Some embodiments include determining a system-independent statistical (first) model, and determining a healthy system (second) model based on data representing vibrations of multiple healthy systems and the first model and speaker recognition techniques. Vibration data are obtained from a particular system. It is determined whether the particular system is unhealthy based on the vibration data from the particular system and the first model and the second model and speaker recognition techniques. Some embodiments include obtaining training data that represents vibrations of multiple healthy systems. A damage-sensitive parameter is based on the training data. A threshold value that separates damaged systems from healthy systems is based on the training data and the parameter.

Abstract: A system for machine training can comprise one or more data processors and a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including: accessing a dataset comprising data tracking a plurality of features; determining a series of values for a regularization parameter of a sparse support vector machine model, the series including an initial regularization value and a next regularization value; computing an initial solution to the sparse support vector machine model for the initial regularization value; identifying, using the initial solution, inactive features of the sparse support vector machine model for the next regularization value; and computing a next solution to the sparse support vector machine model for the next regularization value, wherein computing the next solution includes excluding the inactive features.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and a memory comprising instructions which, when executed by the at least one processor, causes the at least one processor to train a similar passage cognitive system. The mechanism receives a question and answer key for a question answering cognitive system, the question and answer key comprising a list of question and answer specification pairs. Each question is a text string and each answer specification references one or more text passages from a corpus of information. The mechanism uses the question and answer key to generate a similar passage map for the similar passage cognitive system, the similar passage map comprising a list of text relation pairs. Each text relation pair comprises a sample input text component and a list comprising one or more sample output text components. The mechanism trains a similar passage machine learning model of the similar passage cognitive system using the similar passage map.

Abstract: Methods and systems for evaluating compatibility of a cloud of computers to perform one or more workload tasks. One or more computing solution aspects are determined that corresponding to one or more sets of workload factors, where the workload factors characterize one or more workloads, to characterize one or more computing solutions. The workload factors are compared to the computing solution aspects in a rule-based system to exclude computing solutions that cannot satisfy the workload factors. A computing solution is selected that has aspects that accommodate all of the workload factors to find a solution that accommodates the one or more individual workloads.

Abstract: An information display system for displaying information according to an operation by a user, includes a progress management unit configured to compare a scheduled time of displaying the information with a time that the information is actually displayed, and determine a display progress of the information displayed by the operation of the user; and a display unit configured to display the display progress of the information, based on the display progress of the information determined by the progress management unit.

Abstract: An approach is provided to visually depict cohort data to a user. The approach includes receiving a cohort display request (e.g., from a user, etc.). In response to the request, the approach retrieves a plurality of cohort data records, with each of the cohort data records corresponding to a cohort selected from a group of cohorts. In this approach, the group of cohorts represent similar computer systems. The approach displays a set of graphic user interface (GUI) controls on a display device, with each of the GUI controls corresponds to one of the retrieved cohort data records. A user selection is received that corresponds to a selected one of the GUI controls. The system responds by executing a cohort action on the cohort corresponding to the selected GUI control.

Abstract: Discrete Business Activity Management is a method whereby continuous streams of data formatted in one or more taxonomies, originating from two or more networked entity domain nodes within a Grid Framework or equivalent, are extracted at two or more independent times and synchronized to an assigned time index, then translated into each other's taxonomy or harmonized, securely filtered and, routed thereby creating a universal or federated view of business activity over time, which may be viewed in the context of any single domain. An apparatus which performs DBAM consists of processing, storage and network hardware and software, along with software which integrates the function of the DBAM within a Grid Framework or equivalent. The apparatus is further configured as a service for sale to subscribers through the addition of administrative software architecture to manage subscriber access, proprietary information, data element integrity and quality of service in connection with distributed applications.

Abstract: A method for searching transition routes from an initial state of a plurality of stackable items to a target state by a computer at predetermined conditions includes connecting between transitionable states at an edge by a single handling operation transitioning from the initial state to the target state, to generate a state space graph; evaluating a lower bound of handling operation cost from a certain state to the target state, based on both the stacking sequence of the plurality of items in the certain state and the stacking sequence of the plurality of items in the target state; and searching a route from the initial state to the target state where the handling operation cost is minimal on the state space graph using a heuristic search algorithm based on the lower bound.

Abstract: A method for searching transition routes from an initial state of a plurality of stackable items to a target state by a computer at predetermined conditions includes connecting between transitionable states at an edge by a single handling operation transitioning from the initial state to the target state, to generate a state space graph; evaluating a lower bound of handling operation cost from a certain state to the target state, based on both the stacking sequence of the plurality of items in the certain state and the stacking sequence of the plurality of items in the target state; and searching a route from the initial state to the target state where the handling operation cost is minimal on the state space graph using a heuristic search algorithm based on the lower bound.

Abstract: In response to receipt of a process-level input request that is subject to business-level requirements, multiple sets of attributes are identified. The sets of attributes are each from one of multiple informational domains that represent processing factors associated with at least the process-level input request, contemporaneous infrastructure processing capabilities, and historical process performance of similar processes. The multiple sets of attributes from the multiple informational domains are hashed as a vector into an initial process prioritization. The attributes of the hashed vector of the multiple sets of attributes from the multiple informational domains are weighted in the initial process prioritization into a hashed-weighted resulting process prioritization. The process-level input request is assigned to a process category based upon the hashed-weighted resulting process prioritization.

Abstract: The present disclosure relates to a material handling method of performing by means of an automatic mechanical material handling equipment controlled by a control system at least a first and a second access task for accessing respectively at least a first and at least a second article stored in a material handling storage system, the first and second access tasks having been assigned a first and a second execution priority respectively.

Abstract: Systems and methods are disclosed associated with processing information involving terminal operating systems. According to one illustrative implementation, an exemplary method for processing information involving terminal operating system herein may include processing data in a TOS format associated with a TOS type, converting the data into a TOS agnostic format, and performing processing using the TOS agnostic data.

Abstract: A method, system, and corresponding apparatus are provided for translating components of a data set from a barcode to complete an information set. In particular, a method may include receiving a first data string corresponding to a first scanned barcode; decoding the first data string according to the first barcode format to generate a first data payload; and identifying, by a processor, from the first data payload a first set of rules for extracting information from the first data payload. Methods may include extracting information from the first data payload according to the first set of rules to obtain one or more components; translating the one or more components of the first data payload into at least one translated component; and providing for display of the at least one translated component.

Abstract: Embodiments of the present invention pertain to an apparatus and a method that are configured to receive a request to generate a form identification number for a particular form and generate a form identification number for the particular form in response to the request. The apparatus and method also configured to transmit a message comprising the form identification number to a form generator.

Abstract: Software authenticates the user of a social networking service which maintains one or more lists of contacts associated with the user that can be used by the user to selectively share content. The software ascertains a proposed group of contacts from at least one of the lists. The user and members of the proposed group are related by a plurality of communications and the communications are associated with one or more attributes including at least one of geographic locations associated with the communication, time of communication, or medium of communication. The software presents the proposed group of contacts to the user, with a recommendation that the user create a new list of contacts associated with the user from the proposed group of contacts. The software creates the new list of contacts from the proposed group, if the user indicates acceptance of the recommendation.

Abstract: A system and method including a networked processor with a chat management engine operative to embed one or more context sensitive chat widgets in a web page and receive chat messages from the widgets, wherein the messages are associated with a web page context. The system may be further operable to exchange those messages among a plurality of users and determine a sentiment value for those chat messages. In some embodiments a promo engine may modify a web page in response to the sentiment value. For example and without limitation, altering the price for a product or service, adding a product or service, or removing a product or service. Dynamic demographic congregations may be formed that allow for trigger based advertising at a predetermined sentiment value, times or event. Some embodiments provide for coupling to social networks.

Abstract: A method and apparatus for storing a telephone number in a portable terminal. The method includes the steps of providing a user with a name input request message; determining whether or not the inputted name exists in a phone book list of the portable terminal; and generating a new entry including the inputted name and its associated telephone number and adding the new entry to the phone book list when the inputted name does not exist in the phone book list.

Abstract: In one implementation, proximity of a possible meeting participant is used to initiate joining the meeting. A host device or other device detects the presence of a possible meeting participant in a room, conference center, or other region. In response, an invite is sent for joining the meeting. The proximity based invitation may remove the requirement of the possible participant from having to find a previous message with the meeting invitation for joining and/or the requirement of the host to manually invite the possible participant. From the perspective of the possible participant, merely being in the proximity of the meeting may be enough to initiate joining, to receive an invite, and/or to join a meeting.

Abstract: A method, computer program product, and system for delivering content in an electronic meeting. An electronic meeting is associated with a calendar appointment. Content associated with the electronic meeting is identified. A portion of the content is provided to a computing device associated with a user based upon, at least in part, receiving an indication that the user intends to participate in the electronic meeting, wherein the indication is associated with the calendar appointment.

Abstract: A method, computer program product, and system for delivering content in an electronic meeting. An electronic meeting is associated with a calendar appointment. Content associated with the electronic meeting is identified. A portion of the content is provided to a computing device associated with a user based upon, at least in part, receiving an indication that the user intends to participate in the electronic meeting, wherein the indication is associated with the calendar appointment.

Abstract: A controller provides information regarding end-user dictated content for a plurality of technical support topics to an end-user device prior to the controller receiving any indication of specific technical support required by the end-user. Additionally, the controller provides information regarding available automated technical support to the end-user device prior to the controller receiving any indication of specific technical support required by the end-user. The end-user device provides an indication of selection of at least a portion of the either the information regarding end-user dictated content for a plurality of technical support topics or the information regarding available automated technical support. By providing such information prior to receiving any indication of the specific technical support required by the end-user, the likelihood that the end-user can successfully resolve his/her issue without further intervention is increased.