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» Learning from Multiple Sources of Inaccurate Data
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134
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JUCS
2010
186views more  JUCS 2010»
15 years 1 months ago
Context Awareness for Collaborative Learning with Uncertainty Management
: In Collaborative Learning, groups of students work together using traditional and computer-based tools or applications. Participants are continuously moving and reorganizing in g...
Roc Messeguer, Leandro Navarro, Pedro Damiá...
101
Voted
IV
2006
IEEE
103views Visualization» more  IV 2006»
15 years 9 months ago
Scalable Pixel-based Visual Interfaces: Challenges and Solutions
The information revolution is creating and publishing vast data sets, such as records of business transactions, environmental statistics and census demographics. In many applicati...
Mike Sips, Jörn Schneidewind, Daniel A. Keim,...
134
Voted
CONEXT
2006
ACM
15 years 9 months ago
Synergy: blending heterogeneous measurement elements for effective network monitoring
Network traffic matrices are important for various network planning and management operations. Previous work for estimation of traffic matrices is based on either link load record...
Awais Ahmed Awan, Andrew W. Moore
125
Voted
ICIP
2008
IEEE
16 years 5 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell
138
Voted
FSS
2010
147views more  FSS 2010»
15 years 2 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz