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» Robust Principal Component Analysis for Computer Vision
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MICCAI
2003
Springer
16 years 7 months ago
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
Torbjørn Vik, Fabrice Heitz, Jean-Paul Arms...
CVPR
2006
IEEE
16 years 8 months ago
Measurement integration under inconsistency for robust tracking
The solutions to many vision problems involve integrating measurements from multiple sources. Most existing methods rely on a hidden assumption, i.e., these measurements are consi...
Gang Hua, Ying Wu
CVPR
2009
IEEE
17 years 1 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
ICASSP
2011
IEEE
14 years 10 months ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...
ICASSP
2007
IEEE
16 years 16 days ago
An Affine Invariant Function using PCA Bases with an Application to Within-Class Object Recognition
The problem of shape-based recognition of objects under affine transformations is considered. We focus on the construction of a robust and highly discriminative affine invariant...
Georgios Tzimiropoulos, Nikolaos Mitianoudis, Tani...