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» Large Scale Data Mining: Challenges and Responses
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INFOCOM
2010
IEEE
15 years 4 months ago
Distributed Dynamic Speed Scaling
In recent years we have witnessed a great interest in large distributed computing platforms, also known as clouds. While these systems offer enormous computing power, they are howe...
Rade Stanojevic, Robert Shorten
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 9 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 4 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
ICIP
2009
IEEE
16 years 7 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
ICCV
2009
IEEE
15 years 3 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden