278 search results - page 29 / 56 » Strong Separation of Learning Classes |
115
Voted
CVPR
2008
IEEE
15 years 9 months ago
2008
IEEE
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
102
Voted
AAAI
1994
15 years 3 months ago
1994
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
115
Voted
FOCS
2008
IEEE
15 years 9 months ago
2008
IEEE
Razborov and Rudich have shown that so-called natural proofs are not useful for separating P from NP unless hard pseudorandom number generators do not exist. This famous result is...
124
click to vote
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
158
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
In this paper, we address the problem of learning an
adaptive appearance model for object tracking. In particular,
a class of tracking techniques called “tracking by detectionâ...