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» Clustering with Multiple Graphs
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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 10 months ago
Recommendation via Query Centered Random Walk on K-Partite Graph
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William...
131
Voted
CIVR
2005
Springer
133views Image Analysis» more  CIVR 2005»
15 years 9 months ago
Hot Event Detection and Summarization by Graph Modeling and Matching
This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normali...
Yuxin Peng, Chong-Wah Ngo
187
Voted
ACCV
2009
Springer
15 years 8 months ago
Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes
Abstract. We present a novel approach to segmenting video using iterated graph cuts based on spatio-temporal volumes. We use the mean shift clustering algorithm to build the spatio...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
ICPR
2010
IEEE
15 years 1 months ago
Semi-supervised Graph Learning: Near Strangers or Distant Relatives
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Weifu Chen, Guocan Feng
133
Voted
UAI
2008
15 years 5 months ago
Inference for Multiplicative Models
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
Ydo Wexler, Christopher Meek