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PAMI
2002
114views more  PAMI 2002»
14 years 9 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
SIAMSC
2010
215views more  SIAMSC 2010»
14 years 8 months ago
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
We propose a fast algorithm for solving the ℓ1-regularized minimization problem minx∈Rn µ x 1 + Ax − b 2 2 for recovering sparse solutions to an undetermined system of linea...
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
ICDE
2006
IEEE
135views Database» more  ICDE 2006»
15 years 11 months ago
Reverse Nearest Neighbors Search in Ad-hoc Subspaces
Given an object q, modeled by a multidimensional point, a reverse nearest neighbors (RNN) query returns the set of objects in the database that have q as their nearest neighbor. I...
Man Lung Yiu, Nikos Mamoulis
MM
2009
ACM
157views Multimedia» more  MM 2009»
15 years 4 months ago
Face image modeling by multilinear subspace analysis with missing values
The main difficulty in face image modeling is to decompose those semantic factors contributing to the formation of the face images, such as identity, illumination and pose. One p...
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wa...
CORR
2011
Springer
186views Education» more  CORR 2011»
14 years 1 months ago
Blind Compressed Sensing Over a Structured Union of Subspaces
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
Jorge Silva, Minhua Chen, Yonina C. Eldar, Guiller...