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TMM
2002
104views more  TMM 2002»
13 years 8 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
ICS
2009
Tsinghua U.
14 years 1 months ago
A translation system for enabling data mining applications on GPUs
Modern GPUs offer much computing power at a very modest cost. Even though CUDA and other related recent developments are accelerating the use of GPUs for general purpose applicati...
Wenjing Ma, Gagan Agrawal
RIAO
2004
13 years 10 months ago
Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application
Newspapers generally attempt to present the news objectively. But textual affect analysis shows that many words carry positive or negative emotional charge. In this article, we sh...
Gregory Grefenstette, Yan Qu, James G. Shanahan, D...
ESOP
2005
Springer
14 years 2 months ago
Towards a Type System for Analyzing JavaScript Programs
JavaScript is a popular language for client-side web scripting. It has a dubious reputation among programmers for two reasons. First, many JavaScript programs are written against a...
Peter Thiemann
SERVICES
2010
220views more  SERVICES 2010»
13 years 10 months ago
An application-centric model for cloud management
The cloud model is increasingly popular as a means of creating dynamic, flexible and cost effective networkcentric application infrastructures. The model separates the applications...
Terence J. Harmer, Peter Wright, Christina Cunning...