Abstract: The present disclosure discloses a method and an object determination system for determining one or more target objects in an image. The image is segmented by the object detection system into one or more segments based on visual attributes in a first set. Morphological operations are performed on the one or more segments to obtain one or more morphed segments. One or more candidates of target objects are identified based on visual attributes in a second set corresponding to each one or more morphed segments. The object determination system identifies at least one of true positive and false positive from the one or more candidates which indicates presence or absence of the one or more target objects respectively, based on neighborhood information associated with the one or more candidates. The present disclosure facilitates in determining target objects in document automatically, thereby eliminating manual intervention in identifying target objects in the document.

Abstract: A method for controlling a User Equipment (UE) policy by a UE is provided. A method includes receiving the UE policy from a Policy Control Function (PCF), performing a first action in response to receiving the UE policy from a successful execution of the received UE policy, a failed execution of the received UE policy, and storing of the received UE policy, and transmitting a feedback message to the PCF based on the first action.

Abstract: A data processing method and apparatus, where one or more applications run in an operating system of a first device, there is a plurality of paths between the first device and a second device, and the paths correspond to the one or more applications. In a data receiving process, the one or more applications obtain data on the paths through a system call, and further obtain data in a plurality of packets from at least one path. In a data sending process, the one or more applications distribute data to corresponding paths through a system call.

Abstract: The present application relates to a system and method for highlight detection, and includes a highlight detection method for detecting highlights of a stream. The method comprises: collecting purchasing information from a user terminal; and detecting the highlight of the stream according to the purchasing information. The purchasing information includes purchasing actions of the user terminal, and the purchasing actions are actions related to purchase of the user terminal. According to the subject application, the highlights may be detected, captured and generated automatically, and the time and efforts for manual work may be saved.

Abstract: The present disclosure is directed towards methods and systems for providing relevant video scenes in response to a video search query. The systems and methods identify a plurality of key frames of a media object and detect one or more content features represented in the plurality of key frames. Based on the one or more detect content features, the systems and methods associate tags indicating the detected content features with the plurality of key frames of the media object. The systems and methods, in response to receiving a search query including search terms, compare the search terms with the tags of the selected key frames, identify a selected key frame that depicts at least one content feature related to the search terms, and provide a preview image of the media item depicting the at least one content feature.

Abstract: A system and method for customizing a digital platform for a target user. The method encompasses receiving, at a transceiver unit [102], a target user selection number of at least one high value action (HVA) on the digital platform. The method thereafter comprises determining, by a processing unit [104], a quantile score for the target user based on a first set of users identified from a plurality of users on the digital platform. Further the method by the processing unit [104] determines an importance score for the HVA/s based at least on a successful placement of a first order by a second set of users identified from the plurality of users. The method thereafter encompasses determining, by the processing unit [104], a score for the HVA/s based on the quantile score and the importance score, to customize the digital platform.

Abstract: Disclosed is system and method for allocating vehicles to ride requests. A ride request comprising information indicative of a pickup location and a drop location of a given ride is received. Vehicle information of a plurality of currently-available vehicles, driver information of respective drivers of the plurality of currently-available vehicles and fuel-station information of the one or more of the plurality of fuel stations is accessed. A distance to empty for each of the plurality of currently-available vehicles is predicted based on the vehicle information. One or more eligible vehicles that satisfy eligibility criteria are selected from amongst the plurality of currently-available vehicles. A vehicle from amongst the one or more eligible vehicles that is nearest to the pickup location is allocated.

Abstract: The present invention is directed to substituted certain 1-pyrazolyl, 5-, 6-disubstituted indazole derivatives of Formula (I) and pharmaceutically acceptable salts thereof, wherein R1, R2, and ring A are as defined herein, which are potent inhibitors of LRRK2 kinase and may be useful in the treatment or prevention of diseases in which the LRRK2 kinase is involved, such as Parkinson's Disease and other diseases and disorders described herein. The invention is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of diseases, such as Parkinson's disease, in which LRRK-2 kinase is involved.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a central processing unit to generate a compressed multi-vertex buffer to include rendering data from tessellated geometry of a two-dimensional vector graphic for rendering the two-dimensional vector graphic via a GPU rendering pipeline. For example, the disclosed system generates an expanded geometry for control triangles within the tessellated geometry based on an anti-aliasing direction. The disclosed system generates multi-vertex buffer entries including vertex locations and visual attributes (e.g., color, primitive type, anti-aliasing direction, stroke width) of the vector paths corresponding to each triangle in the tessellated geometry. Furthermore, the disclosed system renders the two-dimensional vector graphic by passing the rendering data stored in the compressed multi-vertex buffer to the graphics processing unit in a manner that the graphics processing unit is able to process.

Abstract: A plethysmograph variability processor inputs a plethysmograph waveform having pulses corresponding to pulsatile blood flow within a tissue site. The processor derives plethysmograph values based upon selected plethysmograph features, determines variability values, and calculates a plethysmograph variability parameter. The variability values indicate the variability of the plethysmograph features. The plethysmograph variability parameter is representative of the variability values and provides a useful indication of various physiological conditions and the efficacy of treatment for those conditions.

Abstract: Systems and methods for machine learning architecture for out-of-distribution data detection. The system may include a processor and a memory storing processor-executable instructions that may, when executed, configure the processor to: receive an input data set; generate an out-of-distribution prediction based on the input data set and an auto-encoder, the auto-encoder trained based on a pretext task including a transformation of one or more training data sets for reconstruction, the trained auto-encoder trained for reducing a reconstruction error to encode semantic meaning of the training data sets; and generate a signal for providing an indication of whether the input data set is an out-of-distribution data set.

Abstract: A plethysmographic respiration processor is responsive to respiratory effects appearing on a blood volume waveform and the corresponding detected intensity waveform measured with an optical sensor at a blood perfused peripheral tissue site so as to provide a measurement of respiration rate. A preprocessor identifies a windowed pleth corresponding to a physiologically acceptable series of plethysmograph waveform pulses. Multiple processors derive different parameters responsive to particular respiratory effects on the windowed pleth. Decision logic determines a respiration rate based upon at least a portion of these parameters.

Abstract: A data processing method and apparatus, where one or more applications run in an operating system of a first device, there is a plurality of paths between the first device and a second device, and the paths correspond to the one or more applications. In a data receiving process, the one or more applications obtain data on the paths through a system call, and further obtain data in a plurality of packets from at least one path. In a data sending process, the one or more applications distribute data to corresponding paths through a system call.

Abstract: This disclosure describes, in part, techniques and systems for accurately and efficiently updating applications stored on client computing devices. In some instances, the systems and techniques receive an update from an application developer, but rather than send the update directly to a client computing device that operates the application, the systems and techniques determine one or more difference between the current update and an update previously sent to the client computing device and, thereafter, send a “diff file” indicative of these differences to the client computing device. The client computing device may then use the diff file and the previously received update to re-create the new update. Thus, the systems and techniques are able to update client computing devices while limiting the amount of data sent over a network to these devices.

Abstract: Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.

Abstract: A system for determining blood oxygen saturation of a user from a signal responsive to light absorption by tissue of a monitored patient and determine physiological parameters based on the signal. In some examples, the signal may be analyzed in conjunction with motion data, which may include gyroscope and accelerometer data, to determine a pulse rate and/or blood oxygen saturation value.

Abstract: A host computing system may include a processor and a memory coupled to the processor. The memory may include an auto-discovery module to broadcast a message to a set of management nodes in a data center. The message may include a configuration policy. Further, the auto-discovery module may receive an acknowledgment message from a management node. The acknowledgment message may indicate that the management node supports the configuration policy. Furthermore, the auto-discovery module may establish a trust relationship with the management node in response to receiving the acknowledgment message. Further, the auto-discovery module may enable the host computing system to add to a cluster managed by the management node upon establishing the trust relationship.

Abstract: A technique and computing device to render graphic objects associated with pattern paint in a digital medium environment are disclosed. The computing device comprises a graphics processing unit. The graphics processing unit associates a first surface to a framebuffer of the computing device, renders pattern cells at the first surface, and associates a second surface to the framebuffer of the computing device. The pattern cells correspond to pattern paints, and the pattern cells are rendered at the first surface independent of the sequential order of the pattern cells for rendering pattern paint. The graphics processing unit renders graphic objects associated with the pattern paints, and the graphic objects are rendered at the second surface in sequential order for rendering pattern paint.

Abstract: Curve antialiasing based on curve-pixel intersection is leveraged in a digital medium environment. For instance, to apply antialiasing according to techniques described herein, curves of a visual object are mapped from an original pixel space to a virtual pixel space. Virtual pixels of the virtual pixel space that are intersected by the mapped curves are identified and aggregated as intersected virtual pixels. The intersected virtual pixels are then mapped back into the original pixel space to identify which intersected virtual pixels positionally coincide with respective original pixels of the original pixel space. Intersected virtual pixels are mapped to original pixels to generate pixel coverage for original pixels. The generated pixel coverage values for original pixels are applied to render antialiased curves as part of an antialiased version of the original visual object.

Abstract: A computer-implemented method of training a streaming speech recognition model that includes receiving, as input to the streaming speech recognition model, a sequence of acoustic frames. The streaming speech recognition model is configured to learn an alignment probability between the sequence of acoustic frames and an output sequence of vocabulary tokens. The vocabulary tokens include a plurality of label tokens and a blank token. At each output step, the method includes determining a first probability of emitting one of the label tokens and determining a second probability of emitting the blank token. The method also includes generating the alignment probability at a sequence level based on the first probability and the second probability. The method also includes applying a tuning parameter to the alignment probability at the sequence level to maximize the first probability of emitting one of the label tokens.