Sciweavers

365 search results - page 40 / 73
» Visual Tracking Using Learned Linear Subspaces
Sort
View
98
Voted
ICML
2007
IEEE
16 years 1 months ago
Regression on manifolds using kernel dimension reduction
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
Jens Nilsson, Fei Sha, Michael I. Jordan
CVPR
2008
IEEE
16 years 2 months ago
A recursive filter for linear systems on Riemannian manifolds
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...
Ambrish Tyagi, James W. Davis
AAAI
1993
15 years 1 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
ETRA
2010
ACM
143views Biometrics» more  ETRA 2010»
15 years 7 months ago
Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning
We introduce an algorithm for space-variant filtering of video based on a spatio-temporal Laplacian pyramid and use this algorithm to render videos in order to visualize prerecor...
Michael Dorr, Halszka Jarodzka, Erhardt Barth
ICML
2010
IEEE
15 years 1 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider