Abstract: A semiconductor device and electronic device with reduced power consumption are provided. The semiconductor device includes an encoder, a decoder, and a source driver circuit. An output terminal of the encoder is electrically connected to an input terminal of the source driver circuit, and an output terminal of the source driver circuit is electrically connected to an input terminal of the decoder. The encoder converts input image data into feature-extracted image data, and the decoder restores the feature-extracted image data to the original image data. In addition, provision of a circuit that performs convolution processing using a weight filter for the encoder enables calculation using a convolutional neural network.

Abstract: A three-dimensional object detection method includes: extracting a target in a two-dimensional image by a pre-trained deep convolutional neural network to obtain a plurality of target objects; determining a point cloud frustum in a corresponding three-dimensional point cloud space based on each target object; segmenting the point cloud in the frustum based on a point cloud segmentation network to obtain a point cloud of interest; and estimating parameters of a 3D box in the point cloud of interest based on a network with the weighted channel features to obtain the parameters of the 3D box for three-dimensional object detection. According to the present invention, the features of the image can be learned more accurately by the deep convolutional neural network and the parameters of the 3D box in the point cloud of interest are estimated based on the network with the weighted channel features.

Abstract: A deep learning model and dimensionality reduction are applied to each of a plurality of records of physiological information to derive a plurality of feature vectors. A similarities algorithm is applied to the plurality of feature vectors to form a plurality of clusters, each including a set of feature vectors. An output comprising information that enables a display of one or more of the plurality of clusters is provided, and a mechanism for selecting at least one feature vector within a selected cluster of the plurality of clusters is enabled. Upon selection of a feature vector, an output comprising information that enables a display of the record of physiological information corresponding to the selected feature vector is provided, and a mechanism for assigning a label to the displayed record is enabled. The assigned label is then automatically assigned to the records corresponding to the remaining feature vectors in the selected cluster.

Abstract: A method is provided for Optical Character Recognition (OCR). A plurality of OCR decoding results each having a plurality of positions is obtained from capturing and decoding a plurality of images of the same one or more OCR characters. A recognized character in each OCR decoding result is compared with the recognized character that occupies an identical position in each of the other OCR decoding results. A number of occurrences that each particular recognized character occupies the identical position in the plurality of OCR decoding results is calculated. An individual confidence score is assigned to each particular recognized character based on the number of occurrences, with a highest individual confidence score assigned to a particular recognized character having the greatest number of occurrences.

Abstract: In a method and system for measuring a height map of a surface of an object, the following steps are carried out. Height maps of different sections of the surface of the object are measured, using an optical profilometer having a field of view covering an individual section, wherein each height map comprises height data. The measured height maps are grouped into different sets of height maps, wherein within each set each one of the height maps of the set has a valid overlap to at least one other height map of the set, and wherein each height map belongs to one set and does not have a valid overlap with any height map of another set. Within each set, the measured height maps are stitched to a sub-composite stitched height map. The sub-composite stitched height maps are combined to a composite height map.

Abstract: Discussed herein are devices, systems, and methods for disentangling static and dynamic features of content. A method can include encoding by a transform disentangling autoencoder (AE), first content to generate first static features and first dynamic features and second content to generate second static features and second dynamic features, and constructing, by the AE, third content based on a combination of third static features and the first dynamic features and fourth content based on a combination of fourth static features and the second dynamic features, the third and fourth static features being determined based on the first static features and the second static features.

Abstract: Disclosed is system and method of connection information regularization, graph feature extraction and graph classification based on adjacency matrix. By concentrating the connection information elements in the adjacency matrix into a specific diagonal region of the adjacency matrix in order to reduce the non-connection information elements in advance. The subgraph structure of the graph is further extracted along the diagonal direction using the filter matrix. Then a stacked convolutional neural network is used to extract a larger subgraph structure. On the one hand, it greatly reduces the amount of computation and complexity, solving the limitations of the computational complexity and the limitations of window size. And on the other hand, it can capture large subgraph structure through a small window, as well as deep features from the implicit correlation structures at both vertex and edge level, which improves the accuracy and speed of the graph classification.

Abstract: A method and related apparatus for transferring data between a mobile communication unit and a plurality of access points, wherein each of said plurality of access points and said mobile communication unit is provided with a transceiver, said mobile communication unit being arranged to travel a predetermined route, the method comprising: adjusting transmission power of at least the transceiver of the mobile communication unit substantially to a maximum level; and attenuating transmission signal of each transceiver such that signal level of a received signal in a transmission between the mobile communication unit and each of the access points is more optimal, wherein the level of attenuation is set constant at least in the mobile communication unit.

Abstract: Described herein is a computer-implemented method for automatic extraction of canonical data from an electronic document. The method comprises classifying a first text rectangle in an electronic document as a label and a second text rectangle as a value using a first machine learning algorithm. A first probability score of a likelihood of the first text rectangle corresponding to a first canonical category is determined using a second machine learning algorithm. A second probability score of a likelihood of the second text rectangle corresponding to a first canonical category is determined using a third machine learning algorithm. A relative spatial position of the second text rectangle relative to the first text rectangle is calculated. Based on the relative spatial position, the first probability score, and the second probability score, the first text rectangle, and the second text rectangle are classified into the first canonical category.

Abstract: System and methods for determining placement of a transducer array relative to a subject's head, which may be used in treating cancer in the subject, are provided. These techniques may include constructing, based on one or more images, a representation of the subject's head that includes information for a plurality of structures including one or more tumors positioned within the subject's brain. The representation of the subject's head may be used to calculate electric field propagation for one or more arrangements of a transducer array on a surface of the subject's head. These techniques may further include determining one or more rate of energy absorption distributions and/or one or more electric field distributions using the calculated electric field propagation for multiple arrangements of the transducer array. A rate of energy absorption distribution may indicate a rate of energy absorbed at the one or more tumors.

Abstract: A system for analog gauge monitoring uses a machine learning model for computer vision that is trained using synthetic training data generated based on one or a few images of the gauge being monitored and a geometric model describing the scale and the indicator of the gauge. In some embodiments, the synthetic training data is generated using an image model implemented as a generative adversarial network (GAN) type neural network and trained to modify an image of a given gauge such that the gauge face is preserved while the gauge indicator is added to or removed from the image of the given gauge for any given gauge.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing images in the form of tiny previews in messages of a message stream sent to user devices in an online social messaging platform.

Abstract: The invention relates, in part, to systems and methods for scoring a sample containing tumor tissue from a cancer patient. The score obtained from these methods can be indicative of a likelihood that a patient may respond positively to immunotherapy. The invention also relates, in part, to methods of deriving a value for % biomarker positivity (PBP) for all cells or optionally, one or more subsets thereof, present in a field of view of a tissue sample from a cancer patient. The values for PBP can be indicative of a patient's response to immunotherapy.

Abstract: Systems and methods for forecasting cashflows across one or more accounts of a user disclosed. One example method may include retrieving a data set for each of a plurality of accounts from a database, constructing a graph including a plurality of nodes linked together by a multitude of edges, wherein each node identifies a time series value corresponding to one of the accounts, and each edge indicates a time series value of a corresponding set of transactions occurring between a corresponding pair of accounts, determining a plurality of constraints, determining a specified loss function based on the plurality of constraints, back-propagating a derivative of the specified loss function into a deep neural network (DNN) to determine a set of neural network parameters, forecasting, using the DNN, a time sequence for one or more of the nodes and one or more of the edges, and providing the forecasted time sequences to the user.

Abstract: An image processing method includes: obtaining a target image; performing feature extraction on the target image based on a residual network, to obtain image feature information; and performing recognition processing on the target image according to the image feature information. The residual network includes a plurality of residual blocks that are successively connected, each of the residual blocks including a convolution branch and a residual branch, a size of a convolution kernel of a first convolutional layer in the convolution branch being less than a size of a convolution kernel of a second convolutional layer located after the first convolutional layer, and a convolution stride of the second convolutional layer being greater than a convolution stride of the first convolutional layer and less than a width of the convolution kernel of the second convolutional layer.

Abstract: Techniques for localizing a vehicle including obtaining an image from a camera, identifying a set of image feature points in the image, obtaining an approximate location of the vehicle, determining a set of sub-volumes (SVs) of a map to access based on the approximate location, obtaining map feature points and associated map feature descriptors associated with the set of SVs, determining a set of candidate matches between the set of image feature points and the obtained map feature points, determining a set of potential poses of the camera from candidate matches from the set of candidate matches and an associated reprojection error estimated for remaining points to select a first pose of the set of potential poses having a lowest associated reprojection error, determining the first pose is within a threshold value of an expected vehicle location, and outputting a vehicle location based on the first pose.

Abstract: Data presented in a visual image is monitored and verified. A processing component receives data from sensors and other sources, and interprets the data to generate processed data. A render component generates a visual image based on the processed data. A projector component projects the image, which is received by a splitter component that splits the light stream of the image and routes a portion of light energy to the display screen viewed by the user and another portion of the light energy to a data verification component (DVC). DVC interprets information presented in the image to determine the data being presented to the user by the image. DVC also receives the processed data from the processing component. DVC compares the data determined from the image to the processed data to determine whether they match and takes appropriate responsive action if they do not match.

Abstract: A saturation clustering-based method for positioning bone marrow white blood cells: first, pre-processing a bone marrow white blood cell image to eliminate partial noise points and simultaneously smooth the image; using K-means clustering to cluster saturation channels of the bone marrow white blood cell image, and select the type of the white blood cells according to a decision tree algorithm; next, eliminating irrelevant areas in a binary image of the white blood cells by means of a morphology processing algorithm, and simultaneously filling in point holes in the white blood cells; and finally, positioning the white blood cells. The present method is simple and effective, and is suitable for a wide range of applications compared to existing threshold-based algorithms, while rendering a final result more accurate by integrating the decision tree algorithm.

Abstract: A method for calibrating an image capturing sensor including at least one sensor camera using a time coded pattern target including: displaying the target on a flat screen display, displaying a pattern sequence on the display and capturing the pattern sequence by the at least one sensor camera as a sequence of a camera images, performing an association between pixels of the target and captured image points of the camera images for at least one fixed position of the display in space or respectively for at least two different positions of the display in space, performing the calibration through corresponding points, performing a gamma correction wherein a gamma curve of the display is captured and corrected in any position of the display and/or in addition to capturing the pattern sequence in any position of the display by the at least one sensor camera before displaying the target.

Abstract: A method is disclosed for switching connections of Bluetooth headsets. The method includes indicating, on a user interface of the first Bluetooth device, (i) the first Bluetooth device has a first Bluetooth connection with a Bluetooth headset, and (ii) a second Bluetooth device has no Bluetooth connection with the Bluetooth headset. Also, the method includes receiving user input to establish a second Bluetooth connection between the second Bluetooth device and the Bluetooth headset. Further, the method includes sending a message to the Bluetooth headset. The message includes a unique device identifier of the second Bluetooth device. The message represents a command for the Bluetooth headset to establish the second Bluetooth connection with the second Bluetooth device. Responsive to the message, the Bluetooth headset (i) releases the first Bluetooth connection with the first Bluetooth device and (ii) establishes the second Bluetooth connection with the second Bluetooth device.