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» Robust Multivariate Methods: The Projection Pursuit Approach
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CVPR
2000
IEEE
13 years 11 months ago
A Fast and Robust Approach to Recovering Structure and Motion from Live Video Frames
This paper describes a fast and robust approach to recovering structure and motion from video frames. It rst describes a robust recursive factorization method for ane projection...
Takeshi Kurata, Jun Fujiki, Masakatsu Kourogi, Kat...
BIOCOMP
2008
13 years 8 months ago
Analysis of Microarray Titration Experiments
In this paper we introduce a novel approach for the analysis of microarray titration experiments. The test introduced here can be used more generally for drug-dosage effect or time...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...
ECCV
2004
Springer
14 years 9 months ago
A Robust Algorithm for Characterizing Anisotropic Local Structures
This paper proposes a robust estimation and validation framework for characterizing local structures in a positive multi-variate continuous function approximated by a Gaussian-base...
Kazunori Okada, Dorin Comaniciu, Navneet Dalal, Ar...
ICCV
2001
IEEE
14 years 9 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
ICIP
2009
IEEE
13 years 5 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha