780 search results - page 67 / 156 » Learning Mid-Level Features For Recognition |
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
ICDAR
2007
IEEE
14 years 4 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
ECCV
2006
Springer
13 years 11 months ago
2006
Springer
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
JCP
2008
13 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...