119 search results - page 16 / 24 » Solving POMDPs using quadratically constrained linear progra... |
75
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
110
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MP
2002
14 years 9 months ago
2002
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
NECO
2007
14 years 9 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
83
Voted
JGS
2006
14 years 9 months ago
2006
In practical applications of area-to-point spatial interpolation, inequality constraints, such as non-negativity, or more general constraints on the maximum and/or minimum allowab...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...