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» Combining Methods for Dynamic Multiple Classifier Systems
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122
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TIP
2008
199views more  TIP 2008»
15 years 4 months ago
Minimal-Bracketing Sets for High-Dynamic-Range Image Capture
Abstract--This paper considers the problem of high-dynamicrange (HDR) image capture using low-dynamic-range (LDR) cameras. We present three different minimal-bracketing algorithms ...
Neil Barakat, A. Nicholas Hone, Thomas E. Darcie
SIGIR
2004
ACM
15 years 10 months ago
Forming test collections with no system pooling
Forming test collection relevance judgments from the pooled output of multiple retrieval systems has become the standard process for creating resources such as the TREC, CLEF, and...
Mark Sanderson, Hideo Joho
BMCBI
2006
171views more  BMCBI 2006»
15 years 4 months ago
The Autoimmune Disease Database: a dynamically compiled literature-derived database
Background: Autoimmune diseases are disorders caused by an immune response directed against the body's own organs, tissues and cells. In practice more than 80 clinically dist...
Thomas Karopka, Juliane Fluck, Heinz-Theodor Mevis...
COSIT
2003
Springer
115views GIS» more  COSIT 2003»
15 years 9 months ago
Structuring a Wayfinder's Dynamic Space-Time Environment
To travel successfully in a dynamic space-time setting, wayfinders must project the impact of a changing environment onto future travel choices. When making decisions, however, peo...
Michael D. Hendricks, Max J. Egenhofer, Kathleen H...
149
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FSS
2010
147views more  FSS 2010»
15 years 3 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