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» A Family of Data-Parallel Derivations
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CVPR
2010
IEEE
16 years 2 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
VISUALIZATION
2003
IEEE
15 years 11 months ago
Counting Cases in Marching Cubes: Toward a Generic Algorithm for Producing Substitopes
We describe how to count the cases that arise in a family of visualization techniques, including Marching Cubes, Sweeping Simplices, Contour Meshing, Interval Volumes, and Separat...
David C. Banks, Stephen A. Linton
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 10 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
EPIA
1997
Springer
15 years 10 months ago
GenSAT: A Navigational Approach
GenSATis a family of local hill-climbing procedures for solving propositional satisfiability problems.We restate it as a navigational search process performed on an N-dimensionalc...
Yury V. Smirnov, Manuela M. Veloso
CSB
2004
IEEE
103views Bioinformatics» more  CSB 2004»
15 years 9 months ago
Identifying MicroRNAs in Plant Genomes
The ability to control gene expression during development in plants could be used for improving crop yields, resistance to disease, and environmental adaptability. It has been sug...
Christopher Maher, Marja Timmermans, Lincoln Stein...