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ORL
2011
12 years 11 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
CVPR
2009
IEEE
14 years 3 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
CPHYSICS
2006
103views more  CPHYSICS 2006»
13 years 4 months ago
WATERWAVES: wave particles dynamics on a complex triatomic potential
The WATERWAVES program suite performs complex scattering calculations by propagating a wave packet in a complex, full-dimensional potential for non-rotating (J = 0) but vibrating ...
Simone Taioli, Jonathan Tennyson
CDC
2010
IEEE
163views Control Systems» more  CDC 2010»
12 years 11 months ago
A projection framework for near-potential games
Potential games are a special class of games that admit tractable static and dynamic analysis. Intuitively, games that are "close" to a potential game should enjoy somewh...
Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parril...
ICML
2008
IEEE
14 years 5 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray