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» Computing a Nearest Correlation Matrix with Factor Structure
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SIBGRAPI
2005
IEEE
14 years 1 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
IEEEMSP
2002
IEEE
110views Multimedia» more  IEEEMSP 2002»
14 years 19 days ago
Summarizing video using non-negative similarity matrix factorization
Abstract— We present a novel approach to automatically extracting summary excerpts from audio and video. Our approach is to maximize the average similarity between the excerpt an...
Matthew L. Cooper, Jonathan Foote
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 7 months ago
Penalty Decomposition Methods for Rank Minimization
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
Zhaosong Lu, Yong Zhang
CVPR
2010
IEEE
14 years 27 days ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
IEEEMSP
2002
IEEE
14 years 19 days ago
Factorization with missing data for 3D structure recovery
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar