Sciweavers

1956 search results - page 3 / 392
» Learning the Relative Importance of Features in Image Data
Sort
View
CVPR
2010
IEEE
13 years 10 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
ICPR
2006
IEEE
14 years 6 months ago
Evaluating Feature Importance for Object Classification in Visual Surveillance
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
Hironobu Fujiyoshi, Masamitsu Tsuchiya
IJCNLP
2005
Springer
13 years 11 months ago
Mining Inter-Entity Semantic Relations Using Improved Transductive Learning
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
Zhu Zhang
ICPR
2002
IEEE
14 years 6 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
ICANN
2009
Springer
14 years 10 days ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen