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IJCNN
2006
IEEE
14 years 2 months ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
IJCAI
2003
13 years 9 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...
JUCS
2011
107views more  JUCS 2011»
12 years 11 months ago
Realising the Potential of Web 2.0 for Collaborative Learning Using Affordances
: With the emergence of the Web 2.0 phenomena, technology-assisted social networking has become the norm. The potential of social software for collaborative learning purposes is cl...
Andreas U. Kuswara, Debbie Richards
ECCV
2010
Springer
14 years 1 months ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
ESANN
2003
13 years 9 months ago
Modeling of growing networks with directional attachment and communities
In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...
Masahiro Kimura, Kazumi Saito, Naonori Ueda