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CVPR
2009
IEEE
17 years 1 months ago
Tour the World: building a web-scale landmark recognition engine
Modeling and recognizing landmarks at world-scale is a useful yet challenging task. There exists no readily available list of worldwide landmarks. Obtaining reliable visual mode...
Yantao Zheng, Ming Zhao 0003, Yang Song, Hartwig A...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 6 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
16 years 3 hour ago
Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis
Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists ac...
Markus Schedl, Peter Knees, Gerhard Widmer
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
16 years 1 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 3 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li