180 search results - page 26 / 36 » Introduction to Statistical Learning Theory |
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
When an image is viewed at varying resolutions, it is known to create discrete perceptual jumps or transitions amid the continuous intensity changes. In this paper, we study a per...
COLT
1999
Springer
13 years 11 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
We consider classification of email messages as to whether or not they contain certain “email acts”, such as a request or a commitment. We show that exploiting the sequential ...
AIED
2005
Springer
14 years 1 months ago
2005
Springer
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...