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» The Generalized Dimensionality Reduction Problem
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PR
2011
14 years 18 days ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
15 years 4 months ago
Model reduction for a class of input-quantized systems in the max-plus algebra
Abstract— We present a systematic method for model reduction of a class of input-quantized systems in the max-plus algebra. We consider a generalization of the flow shop with ...
Whitney Weyerman, Sean Warnick
UAI
2001
14 years 11 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
NIPS
1997
14 years 11 months ago
Mapping a Manifold of Perceptual Observations
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Joshua B. Tenenbaum
PAMI
2012
13 years 5 days ago
Aggregating Local Image Descriptors into Compact Codes
— This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present...
Hervé Jégou, Florent Perronnin, Matt...