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» A metric approach toward point process divergence
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ECCV
2004
Springer
14 years 9 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ICST
2009
IEEE
14 years 1 months ago
Optimizing Probabilities of Real-Time Test Case Execution
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...
Nicolás Wolovick, Pedro R. D'Argenio, Hongy...
AO
2006
127views more  AO 2006»
13 years 7 months ago
Formal ontology meets industry
in ontology is quite abstract and often based on toy-examples to the point that the gap between the work of theoreticians and the needs of real applications is too wide to be cross...
Stefano Borgo, Matteo Cristani, Roberta Cuel
DAC
2012
ACM
11 years 9 months ago
Is dark silicon useful?: harnessing the four horsemen of the coming dark silicon apocalypse
Due to the breakdown of Dennardian scaling, the percentage of a silicon chip that can switch at full frequency is dropping exponentially with each process generation. This utiliza...
Michael B. Taylor
CVPR
2008
IEEE
14 years 1 months ago
Retinal image registration from 2D to 3D
We propose a 2D registration method for multi-modal image sequences of the retinal fundus, and a 3D metric reconstruction of near planar surface from multiple views. There are two...
Yuping Lin, Gérard G. Medioni