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ICCV
2001
IEEE
16 years 6 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
CA
2002
IEEE
15 years 9 months ago
CoArt: Co-articulation Region Analysis for Control of 2D Characters
A facial analysis-synthesis framework based on a concise set of local, independently actuated, Coarticulation Regions (CR) is presented for the control of 2D animated characters. ...
Douglas Fidaleo, Ulrich Neumann
VLDB
2000
ACM
135views Database» more  VLDB 2000»
15 years 8 months ago
Telcordia's Database Reconciliation and Data Quality Analysis Tool
This demonstration illustrates how a comprehensive database reconciliation tool can provide the ability to characterize data-quality and data-reconciliation issues in complex real...
Francesco Caruso, Munir Cochinwala, Uma Ganapathy,...
CISS
2010
IEEE
14 years 8 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
CVPR
2008
IEEE
16 years 6 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye