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» Covariant Derivatives and Vision
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ICML
2010
IEEE
13 years 10 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
ICPR
2010
IEEE
14 years 1 months ago
Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation
—Over the recent years, a great deal of effort has been made to age estimation from face images. It has been reported that age can be accurately estimated under controlled enviro...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
CVPR
2010
IEEE
13 years 10 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton
ICCV
2009
IEEE
13 years 7 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
ICASSP
2011
IEEE
13 years 1 months ago
A unified framework for GLRT-based spectrum sensing of signals with covariance matrices with known eigenvalue multiplicities
In this paper, we create a unified framework for spectrum sensing of signals which have covariance matrices with known eigenvalue multiplicities. We derive the generalized likeli...
Erik Axell, Erik G. Larsson