59 search results - page 6 / 12 » Learning Kernel Expansions for Image Classification |
86
Voted
BMVC
2010
14 years 7 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...
63
Voted
ICIAP
2003
ACM
15 years 9 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
14 years 7 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 ...
106
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DAGM
2008
Springer
14 years 11 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
15 years 10 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...