Fields

learning theory
discriminative learning
manifold learning
Large margin classifiers
Large Margin Classifiers
Convexity and Classification
Large Margin Methods for Structured Classification: Exponentiated Gradient Algorithms
自然语言处理(NLP)
Penn Treebank
Discriminative Reranking
Convolution Kernels
Discriminative Training Methods for Hidden Markov Models
Sparse Network
Structured Data
spectral clustering
Graphical model
nonparametric Bayesian
probabilistic graphical model
SVM(Suported Vector Machine)
Gaussian Mixture Model (GMM)
k-means
Spectral Clustering
k-medoids
Vector Quantization