765 search results - page 49 / 153 » Learning from Multiple Annotators with Gaussian Processes |
ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
ICC
2007
IEEE
15 years 6 months ago
2007
IEEE
— Exact bit error probabilities (BEP) are derived in closed form for pulsed binary direct sequence ultra-wideband (DS-UWB) multiple access systems in flat Nakagami fading channe...
187
click to vote
ARTCOM
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper presents the Part Of Speech tagger and Chunker for Tamil using Machine learning techniques. Part Of Speech tagging and chunking are the fundamental processing steps for...
110
click to vote
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
117
click to vote
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...