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» Learning the k in k-means
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COLT
2000
Springer
15 years 10 months ago
Barrier Boosting
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
Gunnar Rätsch, Manfred K. Warmuth, Sebastian ...
CIDM
2009
IEEE
15 years 10 months ago
Gender identification from E-mails
In this paper, we investigate the topic of gender identification for short length, multi-genre, content-free e-mails. We introduce for the first time (to our knowledge), psycholing...
Na Cheng, Xiaoling Chen, R. Chandramouli, K. P. Su...
ASSETS
2008
ACM
15 years 8 months ago
The accessible aquarium: identifying and evaluating salient creature features for sonification
Informal learning environments (e.g., aquaria, zoos, science centers) are often inaccessible to the visually impaired. Sonification can make such environments more accessible whil...
Anandi Pendse, Michael Pate, Bruce N. Walker
PAMI
2006
215views more  PAMI 2006»
15 years 6 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
APIN
2004
131views more  APIN 2004»
15 years 6 months ago
Rough Self Organizing Map
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra