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CORR
2007
Springer
99views Education» more  CORR 2007»
15 years 4 months ago
A parametric representation of totally mixed Nash equilibria
We present an algorithm to compute a parametric description of the totally mixed Nash equilibria of a generic game in normal form with a fixed structure. Using this representatio...
Gabriela Jeronimo, Daniel Perrucci, Juan Sabia
ICPR
2002
IEEE
16 years 6 months ago
Hexagonal Image Representation for 3-D Photorealistic Reconstruction
A new data structure for representing the color of rays from multiple-view images is presented. The structure is a hexagonal tessellation generated from a buckyball. Using the str...
Hidenori Sato, Hiroto Matsuoka, Akira Onozawa, Hit...
ICML
2008
IEEE
16 years 5 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
ALDT
2009
Springer
162views Algorithms» more  ALDT 2009»
15 years 11 months ago
Compact Preference Representation in Stable Marriage Problems
Abstract. The stable marriage problem has many practical applications in twosided markets like those that assign doctors to hospitals, students to schools, or buyers to vendors. Mo...
Enrico Pilotto, Francesca Rossi, Kristen Brent Ven...
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ESANN
2008
15 years 6 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz