4930 search results - page 102 / 986 » Learning minimal abstractions |
117
Voted
FAST
2011
14 years 4 months ago
2011
This work analyzes the stochastic behavior of writing to embedded flash memory at voltages lower than recommended by a microcontroller’s specifications to reduce energy consum...
86
Voted
ICTAI
2009
IEEE
15 years 7 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
100
Voted
COLT
2006
Springer
15 years 4 months ago
2006
Springer
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
90
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
116
Voted
CVPR
1999
IEEE
16 years 2 months ago
1999
IEEE
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...