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BIOID
2008
103views Biometrics» more  BIOID 2008»
13 years 9 months ago
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
COLT
2004
Springer
14 years 1 months ago
Inferring Mixtures of Markov Chains
We define the problem of inferring a “mixture of Markov chains” based on observing a stream of interleaved outputs from these chains. We show a sharp characterization of the i...
Tugkan Batu, Sudipto Guha, Sampath Kannan
PR
2006
99views more  PR 2006»
13 years 7 months ago
Multisets mixture learning-based ellipse detection
We develop an ellipse detection algorithm based on the multisets mixture learning (MML) that differs from the conventional Hough transform perspective. The algorithm developed has...
Zhiyong Liu, Hong Qiao, Lei Xu
JMLR
2007
87views more  JMLR 2007»
13 years 7 months ago
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
Sanjoy Dasgupta, Leonard J. Schulman
SAC
2005
ACM
14 years 1 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra