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CLOR
2006
14 years 23 days 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
COLT
2006
Springer
14 years 23 days ago
Discriminative Learning Can Succeed Where Generative Learning Fails
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
Philip M. Long, Rocco A. Servedio
EUC
2006
Springer
14 years 21 days ago
Custom Instruction Generation Using Temporal Partitioning Techniques for a Reconfigurable Functional Unit
Extracting appropriate custom instructions is an important phase for implementing an application on an extensible processor with a reconfigurable functional unit (RFU). Custom inst...
Farhad Mehdipour, Hamid Noori, Morteza Saheb Zaman...
EUROCRYPT
2006
Springer
14 years 21 days ago
How to Strengthen Pseudo-random Generators by Using Compression
Sequence compression is one of the most promising tools for strengthening pseudo-random generators used in stream ciphers. Indeed, adding compression components can thwart algebrai...
Aline Gouget, Hervé Sibert
ICSR
2000
Springer
14 years 19 days ago
A New Control Structure for Transformation-Based Generators
A serious problem of most transformation-based generators is that they are trying to achieve three mutually antagonistic goals simultaneously: 1) deeply factored operators and oper...
Ted J. Biggerstaff