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» A Probability Model for Combining Ranks
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CVPR
2005
IEEE
16 years 1 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
CLOR
2006
15 years 3 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
ISPW
2008
IEEE
15 years 6 months ago
Accurate Estimates without Calibration?
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
Tim Menzies, Oussama El-Rawas, Barry W. Boehm, Ray...
ECIR
2007
Springer
15 years 1 months ago
Searching Documents Based on Relevance and Type
This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated ...
Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou H...
CODES
2007
IEEE
15 years 6 months ago
Probabilistic performance risk analysis at system-level
We present a novel hybrid approach for performance analysis of a system design. Unlike other approaches in this area, in this paper we do not focus on the determination of pessimi...
Alexander Viehl, Markus Schwarz, Oliver Bringmann,...