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» Using collaborative learning for image contrast enhancement
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ICCBR
2001
Springer
14 years 7 days ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
DICTA
2008
13 years 8 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
CVPR
2008
IEEE
14 years 9 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ICIP
1999
IEEE
14 years 9 months ago
Multimodal Interaction in Collaborative Virtual Environments
Human interfaces for computer graphics systems are now evolving towards a total multi-modal approach. Information gathered using visual, audio and motion capture systems are now b...
Taro Goto, Marc Escher, Christian Zanardi, Nadia M...
EUROGRAPHICS
2010
Eurographics
13 years 9 months ago
Contrast-aware Halftoning
This paper proposes two variants of a simple but efficient algorithm for structure-preserving halftoning. Our algorithm extends Floyd-Steinberg error diffusion; the goal of our ex...
Hua Li and David Mould