Anant Hegde

Vector-Quantization using Information Theoretic Concepts (2008)

Anant Hegde, Deniz Erdogmus, Jose C. Principe

Abstract. The process of representing a large data set with a smaller number of vectors in the best possible way, also known as vector quantization, has been intensively studied in the recent years....

RECURSIVE PRINCIPAL COMPONENTS ANALYSIS USING EIGENVECTOR MATRIX PERTURBATION (2008)

Deniz Erdogmus, Ana N. Rao, Hemanth Peddaneni, Anant Hegde, Jose C. Principe

Abstract. Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where...

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography (2007)

Anant Hegde, Deniz Erdogmus, Deng S. Shiau, Jose C. Principe, Chris J. Sackellares

Abnormal dynamical coupling between brain structures is believed to be primarily responsible for the generation of epileptic seizures and their propagation. In this study, we attempt to identify the...

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography (2007)

Anant Hegde, Deniz Erdogmus, Deng S. Shiau, Jose C. Principe, Chris J. Sackellares

Abnormal dynamical coupling between brain structures is believed to be primarily responsible for the generation of epileptic seizures and their propagation. In this study, we attempt to identify the...

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation (2004)

Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, Jose C. Principe

Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these...

Vector- quantization by density matching in the minimum Kullback–Leibler divergence sense (2004)

Anant Hegde, Deniz Erdogmus, Tue Lehn-schioler, Ana N. Rao, Jose C. Principe

Abstract – Representation of a large set of highdimensional data is a fundamental problem in many applications such as communications and biomedical systems. The problem has been tackled by...

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation (2004)

Jose C. Principe, Anant Hegde, Hemanth Peddaneni, Yadunandana N. Rao, Deniz Erdogmus

Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these...

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation (2004)

Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, Jose C. Principe

Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these...

Phase synchronization and ERP generation / (2002)

Hegde, Anant.

Thesis (M.S.)--University of Houston, 2002.

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography

Hegde, Anant, Erdogmus, Deniz, Shiau, Deng S., Principe, Jose C., Sackellares, Chris J.

Abnormal dynamical coupling between brain structures is believed to be primarily responsible for the generation of epileptic seizures and their propagation. In this study, we attempt to identify the...