59 search results - page 6 / 12 » Learning Kernel Expansions for Image Classification |
BMVC
2010
13 years 5 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
ICIAP
2003
ACM
14 years 7 months ago
2003
ACM
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...