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» Using and Combining Predictors That Specialize
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2006
Springer
13 years 7 months ago
Evolutionary Tuning of Combined Multiple Models
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
Gregor Stiglic, Peter Kokol
ICIP
2000
IEEE
14 years 9 months ago
A Data Fusion Solution to the Accuracy-Efficiency Trade-Off Problem in Motion Estimation
There is often a trade-off between the accuracy and the speed of optical flow techniques. Given similar computational resources, this trade-off results in some techniques making i...
Andrew M. Peacock, David S. Renshaw, John M. Hanna...
ACL
2001
13 years 8 months ago
Evaluating Smoothing Algorithms against Plausibility Judgements
Previous research has shown that the plausibility of an adjective-noun combination is correlated with its corpus co-occurrence frequency. In this paper, we estimate the co-occurre...
Maria Lapata, Frank Keller, Scott McDonald
TSP
2010
13 years 2 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
ICPR
2002
IEEE
14 years 8 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang