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» Process modeling paradigms: an evaluation
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SIGIR
2008
ACM
13 years 7 months ago
Optical character recognition errors and their effects on natural language processing
Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
Daniel P. Lopresti
ISCA
2006
IEEE
137views Hardware» more  ISCA 2006»
14 years 1 months ago
Multiple Instruction Stream Processor
Microprocessor design is undergoing a major paradigm shift towards multi-core designs, in anticipation that future performance gains will come from exploiting threadlevel parallel...
Richard A. Hankins, Gautham N. Chinya, Jamison D. ...
AIPS
2006
13 years 9 months ago
Evaluating Mixed-Initiative Systems: An Experimental Approach
Mixed-Initiative approaches to Planning and Scheduling are being applied in different real world domains. While several recent successful examples of such tools encourage a wider ...
Gabriella Cortellessa, Amedeo Cesta
IJCAI
2007
13 years 9 months ago
Automatic Gait Optimization with Gaussian Process Regression
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, D...
HICSS
2005
IEEE
143views Biometrics» more  HICSS 2005»
14 years 1 months ago
Evaluating PACS Success: A Multidimensional Model
A picture archiving and communications system (PACS) is an integrated workflow system for managing images and related data which is designed to streamline operations throughout th...
Guy Paré, David Aubry, Luigi Lepanto, Claud...