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129
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PAMI
2006
127views more  PAMI 2006»
15 years 2 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
170
Voted
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 3 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
133
Voted
INFOCOM
2011
IEEE
14 years 6 months ago
Dynamic right-sizing for power-proportional data centers
—Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of ...
Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, ...
101
Voted
NIPS
2003
15 years 4 months ago
Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors
Is there a way for an algorithm linked to an unknown body to infer by itself information about this body and the world it is in? Taking the case of space for example, is there a w...
David Philipona, J. K. O'Regan, Jean-Pierre Nadal,...
151
Voted
ECCV
1994
Springer
16 years 4 months ago
Recursive Affine Structure and Motion from Image Sequences
Abstract. This paper presents a new algorithm for structure from motion from an arbitrary number of tracked features over an arbitrary number of images, which possesses several adv...
Philip F. McLauchlan, Ian D. Reid, David W. Murray