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» Signal Processing in Large Systems: a New Paradigm
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ICCBR
2007
Springer
14 years 2 months ago
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
Abstract. Making case adaptation practical is a longstanding challenge for casebased reasoning. One of the impediments to widespread use of automated case adaptation is the adaptat...
David B. Leake, Jay H. Powell
CLOUD
2010
ACM
14 years 1 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ICWE
2007
Springer
14 years 2 months ago
Modeling Data-intensive Rich Internet Applications with Server Push Support
Abstract. Rich Internet applications (RIAs) enable novel usage scenarios by overcoming the traditional paradigms of Web interaction. Conventional Web applications can be seen as re...
Giovanni Toffetti Carughi
ICASSP
2011
IEEE
12 years 11 months ago
Semi-automatic 2D to 3D image conversion using a hybrid Random Walks and graph cuts based approach
In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth ...
Raymond Phan, Richard Rzeszutek, Dimitrios Androut...
ECBS
2009
IEEE
89views Hardware» more  ECBS 2009»
14 years 2 months ago
Optimisation Process for Maintaining Evolvability during Software Evolution
Software systems have to be changed continuously and evolutionarily throughout the whole time of their development and usage. Meanwhile, the software systems have to remain flexi...
Robert Brcina, Stephan Bode, Matthias Riebisch