504 search results - page 12 / 101 » Support Vector Classification with Input Data Uncertainty |
102
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ICIAP
2005
ACM
16 years 15 days ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
112
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
96
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Background modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced f...
98
Voted
SIGKDD
2000
15 years 4 days ago
2000
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...