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» Robust multichannel sampling
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ECIR
2009
Springer
15 years 9 months ago
If I Had a Million Queries
As document collections grow larger, the information needs and relevance judgments in a test collection must be well-chosen within a limited budget to give the most reliable and ro...
Ben Carterette, Virgiliu Pavlu, Evangelos Kanoulas...
CVPR
2012
IEEE
13 years 2 months ago
D-Nets: Beyond patch-based image descriptors
Despite much research on patch-based descriptors, SIFT remains the gold standard for finding correspondences across images and recent descriptors focus primarily on improving spe...
Felix von Hundelshausen, Rahul Sukthankar
97
Voted
ICCV
2001
IEEE
16 years 2 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
104
Voted
ICASSP
2010
IEEE
15 years 20 days ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
119
Voted
ICASSP
2009
IEEE
14 years 10 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
Yi Wu, Jinqiao Wang, Hanqing Lu