Sciweavers

TSP
2010
13 years 7 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
ITICSE
2004
ACM
14 years 5 months ago
Generation as method for explorative learning in computer science education
The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advant...
Andreas Kerren
ICCV
2001
IEEE
15 years 2 months ago
Visual Learning by Integrating Descriptive and Generative Methods
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
ICCV
2005
IEEE
15 years 2 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona