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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 9 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
177
Voted
CVPR
2011
IEEE
15 years 3 days ago
Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos
Image-based location estimation methods typically recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most suited for dis...
Chao-Yeh Chen, Kristen Grauman
146
Voted
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
15 years 10 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
125
Voted
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
16 years 1 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
134
Voted
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont