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MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 11 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 11 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
RIAO
2007
13 years 11 months ago
Using the Knowledge of Object Colors to Segment Images and Improve Web Image Search
With web image search engines, we face a situation where the results are very noisy, and when we ask for a specific object, we are not ensured that this object is contained in all...
Christophe Millet, Isabelle Bloch
UAI
2008
13 years 11 months ago
Cumulative distribution networks and the derivative-sum-product algorithm
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
Jim C. Huang, Brendan J. Frey
AAAI
2006
13 years 11 months ago
A Unified Cognitive Architecture for Physical Agents
In this paper we describe Icarus, a cognitive architecture for physical agents that integrates ideas from a number of traditions, but that has been especially influenced by result...
Pat Langley, Dongkyu Choi