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» Covariant Derivatives and Vision
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ICCV
2007
IEEE
14 years 11 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
ICPR
2004
IEEE
14 years 10 months ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa
CVPR
2009
IEEE
14 years 1 months ago
Dual distributions of multilinear geometric entities
In this paper, we propose how the parameter distributions of multilinear geometric entities can be dualised. The dualisation concern, for example, the parameter distributions of c...
Sami S. Brandt
CVPR
2012
IEEE
12 years 5 days ago
Online continuous stereo extrinsic parameter estimation
Stereo visual odometry and dense scene reconstruction depend critically on accurate calibration of the extrinsic (relative) stereo camera poses. We present an algorithm for contin...
Peter Hansen, Hatem Alismail, Peter Rander, Brett ...
CVPR
1999
IEEE
14 years 11 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer