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INFORMATICALT
2006
88views more  INFORMATICALT 2006»
15 years 6 months ago
Improving the Performances of Asynchronous Algorithms by Combining the Nogood Processors with the Nogood Learning Techniques
Abstract. The asynchronous techniques that exist within the programming with distributed constraints are characterized by the occurrence of the nogood values during the search for ...
Ionel Muscalagiu, Vladimir Cretu
ICIP
2007
IEEE
16 years 8 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen
UIC
2009
Springer
16 years 1 months ago
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domai...
Daniele Riboni, Claudio Bettini
ECIR
2007
Springer
15 years 7 months ago
Combining Evidence for Relevance Criteria: A Framework and Experiments in Web Retrieval
Abstract. We present a framework that assesses relevance with respect to several relevance criteria, by combining the query-dependent and query-independent evidence indicating thes...
Theodora Tsikrika, Mounia Lalmas
ICCAD
2003
IEEE
221views Hardware» more  ICCAD 2003»
16 years 3 months ago
Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems
Abstract— Dynamic voltage scaling (DVS) is a powerful technique for reducing dynamic power consumption in a computing system. However, as technology feature size continues to sca...
Le Yan, Jiong Luo, Niraj K. Jha