Xiao-Yuan Jing mostly deals with Artificial intelligence, Pattern recognition, Machine learning, Discriminative model and Computer vision. The study incorporates disciplines such as Software and Rank in addition to Artificial intelligence. His research ties Image and Pattern recognition together.
His Machine learning research includes elements of Test data, Data mining and Variable. Xiao-Yuan Jing works mostly in the field of Discriminative model, limiting it down to topics relating to Discriminant and, in certain cases, Identification. His Linear discriminant analysis research includes themes of Normalization and Signature recognition.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Facial recognition system, Machine learning and Feature extraction. His research investigates the connection between Artificial intelligence and topics such as Computer vision that intersect with problems in Convolution. His work deals with themes such as Subspace topology and Image, which intersect with Pattern recognition.
His Facial recognition system study incorporates themes from Image processing, Pixel and Kernel. His studies deal with areas such as Contextual image classification, Representation, Data mining and Metric as well as Machine learning. His Feature extraction study incorporates themes from Manifold alignment, Nonlinear dimensionality reduction, Feature, Projection and Pattern recognition.
Artificial intelligence, Pattern recognition, Computer vision, Discriminative model and Feature are his primary areas of study. His Artificial intelligence research includes themes of Machine learning and Metric. His Pattern recognition research focuses on Feature vector in particular.
His Computer vision research integrates issues from Attention network and Convolution. The Discriminative model study combines topics in areas such as Feature, Re identification, Feature learning, Benchmark and Convolutional neural network. His study looks at the intersection of Facial recognition system and topics like Set with Identification and Empirical research.
His primary areas of investigation include Artificial intelligence, Machine learning, Discriminative model, Computer vision and Metric. His study connects Pattern recognition and Artificial intelligence. His study in Machine learning is interdisciplinary in nature, drawing from both Multiset, Discriminant and Partition.
His Discriminative model research is multidisciplinary, relying on both Multispectral image, Facial recognition system, Face, Benchmark and Convolutional neural network. Xiao-Yuan Jing interconnects Attention network, Pyramid and Pascal in the investigation of issues within Computer vision. His biological study spans a wide range of topics, including Software bug, Interpretability, Empirical research and Field.
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A face and palmprint recognition approach based on discriminant DCT feature extraction
Xiao-Yuan Jing;D. Zhang.
systems man and cybernetics (2004)
Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learning
Xiao-Yuan Jing;Xiaoke Zhu;Fei Wu;Xinge You.
computer vision and pattern recognition (2015)
Face and palmprint pixel level fusion and Kernel DCV-RBF classifier for small sample biometric recognition
Xiao-Yuan Jing;Yong-Fang Yao;David Zhang;Jing-Yu Yang.
Pattern Recognition (2007)
Dictionary learning based software defect prediction
Xiao-Yuan Jing;Shi Ying;Zhi-Wu Zhang;Shan-Shan Wu.
international conference on software engineering (2014)
Letters: Face and palmprint feature level fusion for single sample biometrics recognition
Yong-Fang Yao;Xiao-Yuan Jing;Hau-San Wong.
Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning
Xiaoyuan Jing;Fei Wu;Xiwei Dong;Fumin Qi.
foundations of software engineering (2015)
Rapid and brief communication: Face recognition based on 2D Fisherface approach
Xiao-Yuan Jing;Hau-San Wong;David Zhang.
Pattern Recognition (2006)
Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics
Xiaoke Zhu;Xiao-Yuan Jing;Xinge You;Xinyu Zhang.
IEEE Transactions on Image Processing (2018)
An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems
Xiao-Yuan Jing;Fei Wu;Xiwei Dong;Baowen Xu.
IEEE Transactions on Software Engineering (2017)
Multi-view low-rank dictionary learning for image classification
Fei Wu;Xiao-Yuan Jing;Xinge You;Dong Yue.
Pattern Recognition (2016)
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