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» Comparing Approaches to Implement Feature Model Composition
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DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
14 years 3 months ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
HOTI
2008
IEEE
14 years 3 months ago
Building Manycore Processor-to-DRAM Networks with Monolithic Silicon Photonics
We present a new monolithic silicon photonics technology suited for integration with standard bulk CMOS processes, which reduces costs and improves opto-electrical coupling compar...
Christopher Batten, Ajay Joshi, Jason Orcutt, Anat...
CVPR
2005
IEEE
13 years 10 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...
GRAPHICSINTERFACE
2004
13 years 10 months ago
Segmenting Motion Capture Data into Distinct Behaviors
Much of the motion capture data used in animations, commercials, and video games is carefully segmented into distinct motions either at the time of capture or by hand after the ca...
Jernej Barbic, Alla Safonova, Jia-Yu Pan, Christos...
ICML
2003
IEEE
14 years 9 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...