176 search results - page 23 / 36 » Learning with Transformation Invariant Kernels |
105
Voted
JMLR
2012
13 years 2 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
87
Voted
NIPS
2001
15 years 1 months ago
2001
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
116
click to vote
KDD
2009
ACM
16 years 6 days ago
2009
ACM
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
113
Voted
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of the image domain used in shape contexts: for this...
121
click to vote
ICML
1999
IEEE
16 years 14 days ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...