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ACMSE
2006
ACM
15 years 7 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
IWCMC
2006
ACM
15 years 7 months ago
Wireless symbolic positioning using support vector machines
This paper introduces a novel symbolic positioning system based on wireless access points and Support Vector Machines. The system works both indoors and outdoors and is cost-effec...
C. Philipp Schloter, Hamid K. Aghajan
ICIP
2000
IEEE
15 years 5 months ago
Low-Complexity Global Motion Estimation from P-Frame Motion Vectors for MPEG-7 Applications
In this contribution, we present an algorithm for lowcomplexity global motion estimation, that works with block-coded video (e.g. MPEG-2). A superimposed global motion model is fi...
Aljoscha Smolic, Michael Hoeynck, Jens-Rainer Ohm
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
ICTAI
2010
IEEE
14 years 11 months ago
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
Marios Ioannou, George Sakkas, Grigorios Tsoumakas...