68 search results - page 2 / 14 » Recognition by Variance: Learning Rules for Spatiotemporal P... |
CVPR
2006
IEEE
14 years 29 days ago
2006
IEEE
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
AMFG
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define hi...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
IDEAL
2005
Springer
14 years 12 days ago
2005
Springer
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...