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» Support Vector Machines for 3D Object Recognition
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CSCW
2011
ACM
14 years 6 months ago
From ethnographic study to mixed reality: a remote collaborative troubleshooting system
In this paper we describe how we moved from ethnographic study to design and testing of a Mixed Reality (MR) system, supporting collaborative troubleshooting of office copiers and...
Jacki O'Neill, Stefania Castellani, Fréd&ea...
CIKM
2009
Springer
15 years 6 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
15 years 9 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
KAIS
2006
121views more  KAIS 2006»
14 years 11 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
ICPR
2010
IEEE
15 years 2 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With