5 Result(s)
within
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Yi**ang Chen
Conference Paper
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Chapter and Conference Paper
Human Action Recognition Based on Sub-data Learning
Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...
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Chapter and Conference Paper
Image-Text Dual Model for Small-Sample Image Classification
Small-sample classification is a challenging problem in computer vision and has many applications. In this paper, we propose an image-text dual model to improve the classification performance on small-sample d...
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Chapter and Conference Paper
WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge
Despite the emergence and growth of numerous large knowledge graphs, many basic and important facts about our everyday world are not readily available on the Web. To address this, we present WebBrain, a new ap...
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Chapter and Conference Paper
Sequential Labeling with Online Deep Learning: Exploring Model Initialization
In this paper, we leverage both deep learning and conditional random fields (CRFs) for sequential labeling. More specifically, we explore parameter initialization and randomization in deep CRFs and train the w...
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Chapter and Conference Paper
A Bayesian Classifier for Learning from Tensorial Data
Traditional machine learning methods characterize data observations by feature vectors, where an entry of a vector denotes a scalar feature value of a data instance. While this data representation facilitates ...
