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PAMI
2011
14 years 11 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
FGCS
2007
160views more  FGCS 2007»
15 years 4 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 2 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 11 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
MSS
2003
IEEE
84views Hardware» more  MSS 2003»
15 years 9 months ago
Views, Objects, and Persistence for Accessing a High Volume Global Data Set
Efficient access methods are reviewed and explored in relation to the global surface hourly data set and several of its derivative products. Typical access paradigms are compared ...
Richard T. Baldwi