922 search results - page 87 / 185 » Learning Gaussian Process Models from Uncertain Data |
128
Voted
SIGMOD
2004
ACM
16 years 2 months ago
2004
ACM
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
118
Voted
NIPS
2004
15 years 3 months ago
2004
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
108
Voted
PTS
2007
15 years 4 months ago
2007
Abstract. We investigate the use of parameterized state machine models to drive integration testing, in the case where the models of components are not available beforehand. Theref...
170
Voted
AMDO
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
126
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IJON
2008
15 years 2 months ago
2008
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...