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206
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Book
"A random or stochastic process is a mathematical model for a phenomenon
that evolves in time in an unpredictable manner from the viewpoint of the
observer. The phenomenon m...
126
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ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We introduce a new problem of automatic photo composition,
and present an effective technique for finding good
views within a panoramic scene. Instead of applying heuristic
rule...
135
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
132
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
200
Voted
NICSO
2010
Springer
15 years 9 months ago
2010
Springer
Subsumption architectures are a well-known model for behaviour-based robotic control. The overall behaviour is achieved by defining a hierarchy of increasingly sophisticated behav...