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» Advances in Mixture Models
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IR
2002
15 years 6 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
SEAL
2010
Springer
15 years 4 months ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
ICASSP
2009
IEEE
15 years 4 months ago
Monaural voiced speech segregation based on elaborate harmonic grouping strategy
Monaural speech segregation is a very challenging problem which has been studied by many researchers. In this paper, we focus on voiced speech segregation. Different strategies ar...
Xueliang Zhang, Wenju Liu, Peng Li, Bo Xu
ICASSP
2011
IEEE
14 years 10 months ago
A binaural algorithm for space and pitch detection
A binaural algorithm to simultaneously detect the azimuth angle and the pitch of the sound source is proposed in this paper. This algorithm is extended from the stereausis model w...
Wen-Sheng Chou, Kah-Meng Cheong, Tai-Shih Chi
CVPR
2012
IEEE
13 years 9 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...