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ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
17 years 9 days ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
SODA
2010
ACM
200views Algorithms» more  SODA 2010»
16 years 4 months ago
Fully-Functional Succinct Trees
We propose new succinct representations of ordinal trees, which have been studied extensively. It is known that any n-node static tree can be represented in 2n + o(n) bits and a l...
Kunihiko Sadakane, Gonzalo Navarro
CAGD
2005
138views more  CAGD 2005»
15 years 7 months ago
Harmonic functions for quadrilateral remeshing of arbitrary manifolds
In this paper, we propose a new quadrilateral remeshing method for manifolds of arbitrary genus that is at once general, flexible, and efficient. Our technique is based on the use...
Shen Dong, Scott Kircher, Michael Garland
CVPR
2010
IEEE
16 years 3 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
206
Voted
GECCO
2010
Springer
175views Optimization» more  GECCO 2010»
16 years 3 days ago
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed
We implement a weighted negative update of the covariance matrix in the CMA-ES—weighted active CMA-ES or, in short, aCMA-ES. We benchmark the IPOP-aCMA-ES and compare the perfor...
Nikolaus Hansen, Raymond Ros