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129
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AI50
2006
15 years 6 months ago
What Can AI Get from Neuroscience?
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
Steve M. Potter
NIPS
2004
15 years 3 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
122
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ATAL
2008
Springer
15 years 4 months ago
Autonomous virtual humans and lower animals: from biomechanics to intelligence
The confluence of virtual reality and artificial life, an emerging discipline that spans the computational and biological sciences, has yielded synthetic worlds inhabited by reali...
Demetri Terzopoulos
134
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CVPR
2005
IEEE
16 years 4 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun
ICPR
2010
IEEE
15 years 10 days ago
Learning Virtual HD Model for Bi-model Emotional Speaker Recognition
Pitch mismatch between training and testing is one of the important factors causing the performance degradation of the speaker recognition system. In this paper, we adopted the mis...
Ting Huang, Yingchun Yang