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» Separating Populations with Wide Data: A Spectral Analysis
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ICML
2006
IEEE
15 years 10 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
TKDE
2008
152views more  TKDE 2008»
14 years 9 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
BIOID
2008
110views Biometrics» more  BIOID 2008»
14 years 11 months ago
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
Marjory C. C. Abreu, Michael C. Fairhurst
BMCBI
2007
165views more  BMCBI 2007»
14 years 9 months ago
Direct maximum parsimony phylogeny reconstruction from genotype data
Background: Maximum parsimony phylogenetic tree reconstruction from genetic variation data is a fundamental problem in computational genetics with many practical applications in p...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...
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ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Speaker Identification using a Microphone Array and a Joint HMM with Speech Spectrum and Angle of Arrival
In this paper, we present a speaker identification algorithm for a microphone array based on a first-order joint Hidden Markov Model (HMM) where the observations correspond to t...
Jack W. Stokes, John C. Platt, Sumit Basu