2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and manifold learning
His primary scientific interests are in Artificial intelligence, Pattern recognition, Linear discriminant analysis, Dimensionality reduction and Subspace topology. His research is interdisciplinary, bridging the disciplines of Machine learning and Artificial intelligence. His Pattern recognition research includes elements of Facial recognition system, Data point, Cluster analysis and Manifold.
His work carried out in the field of Linear discriminant analysis brings together such families of science as Regression analysis and Regularization. The study incorporates disciplines such as Optimization problem and Discriminative model in addition to Dimensionality reduction. He has included themes like Principal component analysis and Projection in his Subspace topology study.
His main research concerns Artificial intelligence, Pattern recognition, Machine learning, Information retrieval and Dimensionality reduction. His research on Artificial intelligence frequently connects to adjacent areas such as Computer vision. The various areas that Xiaofei He examines in his Pattern recognition study include Facial recognition system and Data mining.
His Information retrieval study incorporates themes from Graph and Web page. His Dimensionality reduction research incorporates themes from Unsupervised learning, Latent semantic indexing, Curse of dimensionality and Feature vector. The Subspace topology study combines topics in areas such as Embedding and Projection.
Xiaofei He spends much of his time researching Artificial intelligence, Machine learning, Natural language processing, Pattern recognition and Information retrieval. His work is connected to Feature extraction, Benchmark, Feature, Discriminative model and Representation, as a part of Artificial intelligence. His work on Feature learning, Re identification and Active learning as part of general Machine learning research is frequently linked to Random walk, bridging the gap between disciplines.
He combines Pattern recognition and Focus in his research. His Question answering and Ranking study in the realm of Information retrieval interacts with subjects such as Encoder, Social influence and Beta distribution. His study in Cluster analysis is interdisciplinary in nature, drawing from both Nonlinear dimensionality reduction, Manifold and Subspace topology.
Xiaofei He mainly focuses on Artificial intelligence, Natural language processing, Information retrieval, Question answering and Theoretical computer science. Many of his studies on Artificial intelligence apply to Machine learning as well. Xiaofei He interconnects Object and DUAL in the investigation of issues within Information retrieval.
His work deals with themes such as Relation, Graph, Knowledge graph and Graph, which intersect with Theoretical computer science. His study explores the link between Training set and topics such as Face that cross with problems in Pattern recognition. His Pattern recognition research focuses on Optimization problem and how it connects with Robustness.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Locality Preserving Projections
Xiaofei He;Partha Niyogi.
neural information processing systems (2003)
Face recognition using Laplacianfaces
Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)
Laplacian Score for Feature Selection
Xiaofei He;Deng Cai;Partha Niyogi.
neural information processing systems (2005)
Neighborhood preserving embedding
Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang.
international conference on computer vision (2005)
Graph Regularized Nonnegative Matrix Factorization for Data Representation
Deng Cai;Xiaofei He;Jiawei Han;T S Huang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)
Unsupervised feature selection for multi-cluster data
Deng Cai;Chiyuan Zhang;Xiaofei He.
knowledge discovery and data mining (2010)
Orthogonal Laplacianfaces for Face Recognition
Deng Cai;Xiaofei He;Jiawei Han;Hong-Jiang Zhang.
IEEE Transactions on Image Processing (2006)
Semi-supervised Discriminant Analysis
Deng Cai;Xiaofei He;Jiawei Han.
international conference on computer vision (2007)
Document clustering using locality preserving indexing
D. Cai;X. He;J. Han.
IEEE Transactions on Knowledge and Data Engineering (2005)
Locality sensitive discriminant analysis
Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han.
international joint conference on artificial intelligence (2007)
Profile was last updated on December 6th, 2021.
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