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104
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ICONIP
2009
14 years 10 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
96
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Well-calibrated heavy tailed Bayesian speaker verification for microphone speech
The work presented in this paper is an extension of our two previous works [1, 2]. In the first paper [1], we proposed a low dimensional feature (i-vectors) extractor which is su...
Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouc...
CVPR
2012
IEEE
13 years 3 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
118
Voted
JMLR
2010
206views more  JMLR 2010»
14 years 7 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
98
Voted
PRL
2007
131views more  PRL 2007»
15 years 16 days ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...
Xiaodong He, Li Deng