Abstract: The improved system and method disclosed herein includes training an auto-labelling engine in a plurality of iterations until a performance of the auto-labelling engine is satisfactory. The auto-labelling engine is trained based on a combination of a plurality of manually annotated first media and a plurality of second media without annotation. The method further includes receiving at least one media for labelling and using the trained auto-labeling engine to draw at least one bounding box around at least one object in the received at least one media for labelling the at least one object in the at least one media.

Abstract: The present disclosure relates to the technical field of computers, and provides a nearest neighbor trajectory query method and apparatus, an electronic device, and a readable storage medium. The nearest neighbor trajectory query method comprises: acquiring a first trajectory to be queried, and determining spatial position information of the first trajectory; generating a trajectory signature according to a positional relationship between the spatial position information of the first trajectory and a region to be queried; determining a spatial position index code of the first trajectory by means of XZ-Ordering; and constructing a spatial range index of the first trajectory according to the trajectory signature and the spatial position index code.

Abstract: A spatial join query method and apparatus, an electronic device, and a storage medium. The spatial join query method comprises: obtaining a first resilient distributed dataset of first spatial data and a second resilient distributed dataset of second spatial data; generating multi-tree spatial indexes for spatial partitions, and collecting statistics about spatial distribution information of geometric objects according to the multi-tree spatial indexes to obtain global spatial distribution information; determining an overlapping spatial partition according to the global spatial distribution information; and setting data, in the first spatial data and the second spatial data, corresponding to the overlapping spatial partition as target data, and performing spatial join calculation on the target data.

Abstract: The present invention relates to a music production system comprising one or more computer processor running music production software and an input device arranged to provide signal inputs to the music production software. The input device comprises a joystick, one or more sensor for monitoring the position and/or orientation of the joystick, and a controller. The sensor output is received by the controller and the controller generates a corresponding signal output to control one or more music production function of the software.

Abstract: A system and method for ensuring application content is displayed in a proper sized display is provided. An illustrative web-based application detects the display characteristics, e.g., size and/or aspect ratio, of its display window. If the display characteristics do not match a predefined requirement, the application ceases updating content and displays resizing notifications to alert the user to adjust the window. Once the window's display characteristics match the predefined criteria, the application resumes updating content in the window.

Abstract: Disclosed are a method and an apparatus for model training and data enhancement, an electronic device and a storage medium. A generative adversarial network model includes a generator and two discriminators, an output of the generator is used as an input of the two discriminators, the method including: generating, by the generator, reference sample data; calculating, by the first discriminator, a first distance between the reference sample data and preset negative sample data; calculating, by the second discriminator, a second distance between negative class data composed of the reference sample data and the preset negative sample data and preset positive sample data; determining an objective function based on the first distance and the second distance; and training the generative adversarial network model by using the objective function until the generative adversarial network model converges, to obtain the generative adversarial network model.

Abstract: A system and method for tracking differences between a last state seen by a user and a current state is provided. A user views a graphical user interface (GUI) wind that displays one or more states. Should the user's focus shift from the GUI and return after one or more states displayed therein have been modified, the system highlights the change between the current state and the user's last seen state.

Abstract: System and method for aspect-level sentiment classification. The system includes a computing device, the computing device has a processer and a storage device storing computer executable code. The computer executable code is configured to: receive a sentence having a labeled aspect term and context; convert the sentence into a dependency tree graph; calculate an attention matrix of the dependency tree graph based on one-hop attention between any two nodes of the graph; calculate multi-head attention diffusion for any two nodes from the attention matrix; obtain updated embedding of the graph using the multi-head diffusion attention; classify the aspect term based on the updated embedding of the graph to obtain predicted classification of the aspect term; calculate loss function based on the predicted classification and the ground truth label of the aspect term; and adjust parameters of models in the computer executable code based on the loss function.

Abstract: A system and method for automatically generating and rendering a report data structure is provided. The report data structure is formed in a platform independent manner that includes all data for transactions used in the report. The system analyzes the transactions to be included in the report and selects the type of display component based on a ranking score to best highlight the data contained therein.

Abstract: A system and a method for obtaining a photo-realistic video from a text. The method includes: providing the text and an image of a talking person; synthesizing a speech audio from the text; extracting an acoustic feature from the speech audio by an acoustic feature extractor; and generating the photo-realistic video from the acoustic feature and the image by a video generation neural network. The video generating neural network is pre-trained by: providing a training video and a training image; extracting a training acoustic feature from training audio of the training video by the acoustic feature extractor; generating video frames from the training image and the training acoustic feature by the video generation neural network; and comparing the generated video frames with ground truth video frames using generative adversarial network (GAN). The ground truth video frames correspond to the training video frames.

Abstract: Embodiments of the present invention adapt interconnect systems to apply automated rules and analytics to the Authentication, Authorization, and Accounting (“AAA”) messages between providers that are handled by the interconnect system. The automated rules and analytics interpret or convert the administrative messages into a measure of technical performance of the visited network in relation to a corresponding home network provider. As part of this process, the system establishes a procedure that matches messages involving a device to be related and produces a data structure and corresponding data that is stored and reflects the performance or other salient data points. The structure of the data is set of extracted and calculated data that is derived from the messages and is assembled to reflect operation at the level of each administrative messaging session, involving a request to the home network provider to join a visited network.

Abstract: The disclosure herein relate to an inventory management system and more particularly, to a device for holding and monitoring weight of product(s) in the inventory management system of a store. The device (100) includes a main bracket (102), a load sensor (104), a load transfer member (106) and a holding member (108). The load sensor (104) is connected to the main bracket (102). The load transfer member (106) is connected to the load sensor (104). The holding member (108) is connected to the load transfer member (106). The device (100) is reliable and consumes less space.

Abstract: System and method for prediction using a machine learning model. The system includes a coordinator, an active computing device and a passive computing device in communication with each other. The active computing device has a processor and a storage device storing computer executable code. The computer executable code is configured to: obtain parameters of the machine learning model; retrieve an instance from the local data; sample a random direction of the instance; compute a dot product of the random direction and the instance, and calculate a random feature; compute predicted values of the instance in the active and passive computing devices and summarize them to obtain a final predicted value; determine a model coefficient using the random feature, the final predicted value, and a target value of the instance; update the machine learning model using the model coefficient; and predict a value for a new instance.

Abstract: A method and a device for improving performance of a data processing model, a storage medium and an electronic device are provided. A piece of data in a determined test data read currently is determined as target data. Outlier detection parameters in a detection module are acquired. Detection of concept drift is performed on the data processing model based on the target data and the outlier detection parameters. A detection module is triggered to update each of the outlier detection parameters and the data processing model is retrained when concept drift is successfully detected. After the data processing model is already trained, a piece of data to be read next is determined as the target data, the updated outlier detection parameters in the detection module are acquired, and the detection is resumed until all the pieces of data in the test data stream are read.

Abstract: A system and method for displaying changes to a number of entries between page views is provided.

Abstract: A system and method for tracking differences between a last state seen by a user and a current state is provided. A user views a graphical user interface (GUI) wind that displays one or more states. Should the user's focus shift from the GUI and return after one or more states displayed therein have been modified, the system highlights the change between the current state and the user's last seen state.

Abstract: An improved UAV system and methods for operation in an inventory management system. The methods include generating a three dimensional (3D) map and estimating a position and orientation of the UAV based upon this map; autonomously navigating the UAV in the environment by using the generated 3d map in conjunction with the position and the orientation of the UAV; performing static and dynamic obstacle avoidance in the environment using collision avoidance; and finding the optimal path from a source node to a destination node within the environment.

Abstract: The embodiments herein relate to surveillance of objects and, more particularly, to efficient detection and tracking of objects. A method disclosed herein includes detecting at least one object in the physical store, on receiving media from a plurality of media acquisition devices positioned in the physical store. The method further includes tracking the at least one object in the physical store by projecting input data points of each media acquisition device onto a groundplot, clustering the input data points into a single cluster, and assigning a tracking identifier (ID) to a centroid of the single cluster, wherein the centroid depicts the at least one object.

Abstract: A system and method for ensuring application content is displayed in a proper sized display is provided. An illustrative web-based application detects the display characteristics, e.g., size and/or aspect ratio, of its display window. If the display characteristics do not match a predefined requirement, the application ceases updating content and displays resizing notifications to alert the user to adjust the window. Once the window's display characteristics match the predefined criteria, the application resumes updating content in the window.