2056 search results - page 88 / 412 » Learning Visual Invariance |
149
Voted
ICML
1995
IEEE
16 years 3 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
127
Voted
ICRA
2005
IEEE
15 years 7 months ago
2005
IEEE
— This paper proposes numerical algorithms for reducing the computational cost of semi-supervised and active learning procedures for visually guided mobile robots from O(M3 ) to ...
134
Voted
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
148
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
121
Voted
CVPR
2006
IEEE
15 years 8 months ago
2006
IEEE
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...