224 search results - page 5 / 45 » Learning in Computer Vision: Some Thoughts |
ALT
2011
Springer
12 years 7 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
ISF
2008
13 years 7 months ago
2008
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
MLG
2007
Springer
14 years 1 months ago
2007
Springer
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as gr...