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» Making Better Use of Global Discretization
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NIPS
2008
13 years 10 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould
CIKM
2007
Springer
14 years 2 months ago
Regularized locality preserving indexing via spectral regression
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han
ICIP
1999
IEEE
14 years 27 days ago
Motion Segmentation with Level Sets
Segmentation of motion in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. To date, a wea...
Abdol-Reza Mansouri, Janusz Konrad
JAC
2008
13 years 10 months ago
Quantization of cellular automata
Take a cellular automaton, consider that each configuration is a basis vector in some vector space, and linearize the global evolution function. If lucky, the result could actually...
Pablo Arrighi, Vincent Nesme
SAC
2009
ACM
14 years 3 months ago
On a discretizable subclass of instances of the molecular distance geometry problem
The molecular distance geometry problem can be formulated as the problem of finding an immersion in R3 of a given undirected, nonnegatively weighted graph G. In this paper, we di...
Carlile Lavor, Leo Liberti, Antonio Mucherino, Nel...