Huawei Technologies Co., Limited

Bharath Sekar

Wei Li

Juwei Lu

Peng Dai

Jianpeng Xu

Ruiwen Li

System and method for classifying data objects occurring in an unstructured dataset, comprising: extracting feature vectors from the unstructured dataset, each feature vector representing an occurrence of a data object in the unstructured dataset; classifying the feature vectors into feature vector sets that each correspond to a respective object class from a plurality of object classes; for each feature vector set: performing multiple iterations of a clustering operation, each iteration including clustering feature vectors from the feature vector set into clusters of similar feature vectors and identifying outlier feature vectors, wherein for at least one iteration after a first iteration of the clustering operation, outlier feature vectors identified in a previous iteration are excluded from the clustering operation; and outputting a key cluster for the feature vector set from a final iteration of the multiple iterations, the key cluster including a greater number of similar feature vectors than any of the other clusters of the final iteration; and assembling a dataset that includes at least the feature vectors from the key clusters of the feature vector sets.

Semi-supervised hybrid clustering/classification system

A method and system for displaying data content associated with a video, comprising: receiving video data for a video at the user equipment; playing the video in a user interface rendered on a display device of the user equipment; pausing the video at a selected frame; accessing, based on the selected frame, content data associated with the selected frame; and displaying information about the content data associated with the selected frame in the user interface.

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North York, Canada

Bharath Sekar