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ICCV
2005
IEEE
16 years 8 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
CEC
2007
IEEE
16 years 1 months ago
Success effort and other statistics for performance comparisons in genetic programming
— This paper looks at the statistics used to compare variations to the genetic programming method. Previous work in this area has been dominated by the use of mean best-of-run ï¬...
Matthew Walker, Howard Edwards, Chris H. Messom
ALT
1994
Springer
15 years 11 months ago
Program Synthesis in the Presence of Infinite Number of Inaccuracies
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Sanjay Jain
COR
2008
128views more  COR 2008»
15 years 6 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales
JAR
2007
72views more  JAR 2007»
15 years 6 months ago
Inferring Phylogenetic Trees Using Answer Set Programming
We describe the reconstruction of a phylogeny for a set of taxa, with a character-based cladistics approach, in a declarative knowledge representation formalism, and show how to u...
Daniel R. Brooks, Esra Erdem, Selim T. Erdogan, Ja...