Sciweavers

1137 search results - page 6 / 228
» Objective Functions for Feature Discrimination
Sort
View
CVPR
2005
IEEE
15 years 27 days ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
ICIP
2005
IEEE
15 years 16 days ago
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects
We present a new approach based on Discriminant Analysis to map a high dimensional image feature space onto
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
IJCAI
2007
14 years 9 days ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
WACV
2005
IEEE
14 years 4 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
VISUAL
1999
Springer
14 years 3 months ago
Highly Discriminative Invariant FEatures for Image Matching
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang