2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to wavelet analysis, pattern recognition and document analysis.
2004 - IEEE Fellow For contributions to wavelet analysis to pattern recognition and document analysis.
Yuan Yan Tang mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Wavelet transform. His study in Image, Pixel, Facial recognition system, Image processing and Robustness are all subfields of Artificial intelligence. In his research, Training set is intimately related to Regularization, which falls under the overarching field of Pattern recognition.
His work in the fields of Image segmentation, Feature detection and Segmentation overlaps with other areas such as Clutter. His research integrates issues of Classifier, Feature, Principal component analysis and Support vector machine in his study of Feature extraction. His Wavelet transform study which covers Edge detection that intersects with Structure, Multiresolution analysis and Image resolution.
Yuan Yan Tang spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Wavelet and Algorithm. His research in Artificial intelligence tackles topics such as Machine learning which are related to areas like Data mining. His Pattern recognition and Hyperspectral imaging, Sparse approximation, Dimensionality reduction, Feature vector and Support vector machine investigations all form part of his Pattern recognition research activities.
His studies in Image processing, Pixel and Image segmentation are all subfields of Computer vision research. His Wavelet research includes themes of Speech recognition, Mathematical analysis and Pattern recognition. His Signal processing research extends to the thematically linked field of Algorithm.
Yuan Yan Tang mostly deals with Artificial intelligence, Pattern recognition, Algorithm, Computer vision and Hyperspectral imaging. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Data mining, as a part of the same area of interest. His Pattern recognition study combines topics from a wide range of disciplines, such as Regression, Robustness and Cluster analysis.
Yuan Yan Tang mostly deals with Video tracking in his studies of Computer vision. His Hyperspectral imaging research incorporates elements of Pixel, Image, Spatial analysis and Feature vector. His Feature selection research is multidisciplinary, incorporating elements of Matrix and Dimensionality reduction.
Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Sparse approximation are his primary areas of study. Discriminative model, Feature extraction, Class, Support vector machine and Robustness are subfields of Artificial intelligence in which his conducts study. Specifically, his work in Pattern recognition is concerned with the study of Hyperspectral imaging.
His studies in Computer vision integrate themes in fields like Salient, Simple, Ranking and Focus. His work deals with themes such as Software quality, Data mining and Crowd psychology, which intersect with Machine learning. His Sparse approximation research is multidisciplinary, relying on both Classifier, Facial recognition system, Matching pursuit and Outlier.
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Face Recognition Under Varying Illumination Using Gradientfaces
Taiping Zhang;Yuan Yan Tang;Bin Fang;Zhaowei Shang.
IEEE Transactions on Image Processing (2009)
A Local Contrast Method for Small Infrared Target Detection
C. L. Philip Chen;Hong Li;Yantao Wei;Tian Xia.
IEEE Transactions on Geoscience and Remote Sensing (2014)
Off-line signature verification by the tracking of feature and stroke positions
Bin Fang;Cheung H. Leung;Yuan Yan Tang;K. W. Tse.
Pattern Recognition (2003)
Multi-agent oriented constraint satisfaction
Jiming Liu;Han Jing;Y. Y. Tang.
Artificial Intelligence (2002)
Wavelet Theory Approach to Pattern Recognition
Yuan Yan Tang.
Wavelet Theory and Its Application to Pattern Recognition
Yuan Yan Tang.
Multiscale facial structure representation for face recognition under varying illumination
Taiping Zhang;Bin Fang;Yuan Yuan;Yuan Yan Tang.
Pattern Recognition (2009)
High-order distance-based multiview stochastic learning in image classification.
Jun Yu;Yong Rui;Yuan Yan Tang;Dacheng Tao.
IEEE Transactions on Systems, Man, and Cybernetics (2014)
Multiview Hessian discriminative sparse coding for image annotation
Weifeng Liu;Dacheng Tao;Jun Cheng;Yuanyan Tang.
Computer Vision and Image Understanding (2014)
Adaptive image segmentation with distributed behavior-based agents
Jiming Liu;Y.Y. Tang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
Profile was last updated on December 6th, 2021.
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