Xiangwei Kong
Computer Vision and Pattern Recognition · 2011
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
- Artificial Intelligence — 5 citations into it
- Signal Processing — 5 citations into it
Whom Xiangwei Kong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xiangwei Kong's perspective
Ordered by how strongly the researchers Xiangwei Kong trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Density Estimation for Statistics and Data Analysis
- Information Theoretic Learning (Encyclopedia of Artificial Intelligence)
- Robust L/sub 1/ norm factorization in the presence of outliers and missing data by alternative convex programming
- Analysis of a complex of statistical variables into principal components.
- Matrix Computations
- From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
- R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization (International Conference on Machine Learning)
- A unified framework for subspace face recognition (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Generalized correlation function: definition, properties, and application to blind equalization (IEEE Transactions on Signal Processing)
Their papers
- Robust Principal Component Analysis Based on Maximum Correntropy Criterion (2011) — 350 citations