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PAMI
2012
13 years 1 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
15 years 11 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 11 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
85
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KDD
2003
ACM
113views Data Mining» more  KDD 2003»
15 years 11 months ago
Indexing multi-dimensional time-series with support for multiple distance measures
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structu...
Michail Vlachos, Marios Hadjieleftheriou, Dimitrio...
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 5 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen