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» Estimating Likelihoods for Topic Models
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83
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INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 12 days ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
TASLP
2011
14 years 7 months ago
Source-Filter-Based Single-Channel Speech Separation Using Pitch Information
—In this paper, we investigate the source–filter-based approach for single-channel speech separation. We incorporate source-driven aspects by multi-pitch estimation in the mod...
Michael Stark, Michael Wohlmayr, Franz Pernkopf
93
Voted
3DPVT
2006
IEEE
185views Visualization» more  3DPVT 2006»
15 years 6 months ago
A Probabilistic Method for Aligning and Merging Range Images with Anisotropic Error Distribution
This paper describes a probabilistic method of aligning and merging range images. We formulate these issues as problems of estimating the maximum likelihood. By examining the erro...
Ryusuke Sagawa, Nanaho Osawa, Yasushi Yagi
115
Voted
FGR
2000
IEEE
181views Biometrics» more  FGR 2000»
15 years 5 months ago
Face Detection Using Mixtures of Linear Subspaces
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
GECCO
2009
Springer
140views Optimization» more  GECCO 2009»
15 years 5 months ago
AMaLGaM IDEAs in noisy black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens