310 search results - page 12 / 62 » MuFeSaC: Learning When to Use Which Feature Detector |
ICDAR
2007
IEEE
14 years 4 months ago
2007
IEEE
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
IJCV
1998
13 years 9 months ago
1998
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
ECML
2006
Springer
14 years 3 days ago
2006
Springer
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
JMLR
2010
13 years 5 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
TROB
2002
13 years 9 months ago
2002
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...