2103 search results - page 272 / 421 » Approximate Learning of Dynamic Models |
196
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EVENT
2001
15 years 6 months ago
2001
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
129
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NN
2006
Springer
15 years 5 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
205
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CVPR
2009
IEEE
17 years 9 days ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
156
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STOC
1993
ACM
15 years 9 months ago
1993
ACM
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
153
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CF
2010
ACM
15 years 10 months ago
2010
ACM
We develop two simple interval-based models for dynamic superscalar processors. These models allow us to: i) predict with great accuracy performance and power consumption under va...