Sciweavers

1584 search results - page 44 / 317
» On Combining Multiple Classifiers Using an Evidential Approa...
Sort
View
ICCV
2005
IEEE
16 years 1 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
ICALT
2005
IEEE
15 years 5 months ago
The Effect of Correlation on the Accuracy of Meta-Learning Approach
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
Li-ying Yang, Zheng Qin
ICPR
2006
IEEE
16 years 27 days ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
15 years 6 months ago
Index-Supported Similarity Search Using Multiple Representations
Similarity search in complex databases is of utmost interest in a wide range of application domains. Often, complex objects are described by several representations. The combinatio...
Johannes Aßfalg, Michael Kats, Hans-Peter Kr...
JVCIR
2006
85views more  JVCIR 2006»
14 years 11 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan