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» Learning Gaussian processes from multiple tasks
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159
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ICASSP
2011
IEEE
14 years 7 months ago
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
George E. Dahl, Dong Yu, Li Deng, Alex Acero
107
Voted
IJCNLP
2004
Springer
15 years 8 months ago
Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Jinying Chen, Nianwen Xue, Martha Stone Palmer
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
15 years 8 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
153
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ECCV
2010
Springer
15 years 8 months ago
Learning Relations Among Movie Characters: A Social Network Perspective
If you have ever watched movies or television shows, you know how easy it is to tell the good characters from the bad ones. Little, however, is known “whether” or “how” com...
116
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AUSAI
2004
Springer
15 years 8 months ago
A Dynamic Allocation Method of Basis Functions in Reinforcement Learning
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
Shingo Iida, Kiyotake Kuwayama, Masayoshi Kanoh, S...