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CVPR
2008
IEEE
14 years 9 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
ICRA
2008
IEEE
138views Robotics» more  ICRA 2008»
14 years 2 months ago
Embedded auditory system for small mobile robots
— Auditory capabilities would allow small robots interacting with people to act according to vocal cues. In our recent work, we have demonstrated AUDIBLE, an auditory system capa...
Simon Brière, Jean-Marc Valin, Franç...
CF
2006
ACM
14 years 1 months ago
Memory efficient parallel matrix multiplication operation for irregular problems
Regular distributions for storing dense matrices on parallel systems are not always used in practice. In many scientific applicati RUMMA) [1] to handle irregularly distributed mat...
Manojkumar Krishnan, Jarek Nieplocha
COLT
2008
Springer
13 years 9 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels