PROJECT PAPERS

• I. Alphonso, "Heteroscedastic Discriminant Analysis"
  
  
• I. Alphonso, "Independent Component Analysis"
  
  
• I. Alphonso, "Support Vector Classification"
  
  
• K. Huang, "Genetic Programming for Multi-Category Pattern Classification"
  
  
• K. Huang, "Review of Bayesian Speaker Adaptation Based on PPCA"
  
  
• K. Huang, "Review of Multi-Group Mixture Weight HMM"
  
  
• N. Jahan, "An Application of Kernel Density Estimation in a Classification Problem"
  
  
• N. Jahan, "Review of Arcing Classifiers"
  
  
• N. Jahan, "Review of ICL Criterion For Clustering in Mixture Models"
  
  
• B. Jelinek, "Neural Network Application Pattern Classification Problems"
  
  
• B. Jelinek, "Review on Heteroscedastic Discriminant Analysis"
  
  
• B. Jelinek, "Review on Training Hidden Markov Models with Multiple Observations"
  
  
• N. Parihar, "Review on IEEE Transaction on ML and MCE Factor Analysis For Automatic Speech Recognition"
  
  
• N. Parihar, "Review on a Modified Baum-Welch Algorithm For Hidden Markov Models With Multiple Observation Spaces"
  
  
• N. Parihar, "Review on Support Vector Machines and Its Application To Pattern Recognition"
  
  
• P. Peng, "Design of KPCA Based Minimum Squared Error Classifier"
  
  
• P. Peng, Review of "Improving Clustering With Hidden Markov Models Using Bayesian Model Selection"
  
  
• P. Peng, "Review of Multi-Group Mixture Weight HMM"
  
  
• R. Sundaram, "Multiple Discriminant Analysis"
  
  
• R. Sundaram, "Review of Minimum Classification Error Training In Dimensionality Reduction"
  
  
• R. Sundaram, "Review of Signal Reconstruction Using KPCA"
  
  
• F. Zheng, "K-Means-Based Fuzzy Classifier"
  
  
• F. Zheng, Review on "Efficient ML Training of CDHMM Parameters Based on Prior Evolution, Posterior Intervention and Feedback"
  
  
• F. Zheng, "Review on Large Vocabulary Decoding and Confidence Estimation Using Word Posterior Probabilities"