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» Multi-Instance Mixture Models
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118
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NIPS
2008
15 years 2 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
ICASSP
2010
IEEE
15 years 1 months ago
Language recognition using deep-structured conditional random fields
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
Dong Yu, Shizhen Wang, Zahi Karam, Li Deng
99
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Noisy speech enhancement based on prior knowledge about spectral envelope and harmonic structure
This paper considers the enhancement of noisy speech. Earlier studies have revealed that an approach that enhances spectral envelopes by using prior knowledge about the all-pole (...
Takuya Yoshioka, Tomohiro Nakatani, Hiroshi G. Oku...
IWC
2006
165views more  IWC 2006»
15 years 23 days ago
Cross-cultural differences in recognizing affect from body posture
Conveyance and recognition of human emotion and affective expression is influenced by many factors, including culture. Within the user modeling field, it has become increasingly n...
Andrea Kleinsmith, P. Ravindra De Silva, Nadia Bia...
ENGL
2007
89views more  ENGL 2007»
15 years 22 days ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...