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165
Voted
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 6 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
170
Voted
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 10 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
KDD
1997
ACM
130views Data Mining» more  KDD 1997»
15 years 8 months ago
Process-Based Database Support for the Early Indicator Method
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...
Christoph Breitner, Jörg Schlösser, R&uu...
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
15 years 2 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims