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ECCV
2010
Springer
13 years 7 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
COMSUR
2008
169views more  COMSUR 2008»
13 years 7 months ago
Peer-to-peer-based resource discovery In global grids: A tutorial
Efficient Resource discovery mechanism is one of the fundamental requirement for Grid computing systems, as it aids in resource management and scheduling of applications. Resource...
Rajiv Ranjan, Aaron Harwood, Rajkumar Buyya
DEBU
2010
180views more  DEBU 2010»
13 years 7 months ago
Searching RDF Graphs with SPARQL and Keywords
The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages enable the construction of large knowledge ba...
Shady Elbassuoni, Maya Ramanath, Ralf Schenkel, Ge...
ADHOC
2006
97views more  ADHOC 2006»
13 years 7 months ago
A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
ENTCS
2008
106views more  ENTCS 2008»
13 years 7 months ago
Modelling Adaptive Systems in ForSyDe
Emerging architectures such as partially reconfigurable FPGAs provide a huge potential for adaptivity in the area of embedded systems. Since many system functions are only execute...
Ingo Sander, Axel Jantsch