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CIKM
2008
Springer
13 years 10 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
FSE
2008
Springer
166views Cryptology» more  FSE 2008»
13 years 10 months ago
Accelerating the Whirlpool Hash Function Using Parallel Table Lookup and Fast Cyclical Permutation
Hash functions are an important building block in almost all security applications. In the past few years, there have been major advances in the cryptanalysis of hash functions, es...
Yedidya Hilewitz, Yiqun Lisa Yin, Ruby B. Lee
AIA
2007
13 years 10 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
CIMAGING
2010
133views Hardware» more  CIMAGING 2010»
13 years 10 months ago
Motion blur removal in nonlinear sensors
We address the problem of motion blur removal from an image sequence that was acquired by a sensor with nonlinear response. Motion blur removal in purely linear settings has been ...
Tomer Faktor, Tomer Michaeli, Yonina C. Eldar
IJCAI
2007
13 years 10 months ago
Handling Alternative Activities in Resource-Constrained Project Scheduling Problems
In the context of operative disruption management, decision support systems have to evaluate the typically manifold options of responding to disturbances: The temporal shift of ac...
Jürgen Kuster, Dietmar Jannach, Gerhard Fried...