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» The importance of learning in fuzzy systems
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BMCBI
2007
207views more  BMCBI 2007»
13 years 7 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
ISI
2006
Springer
13 years 7 months ago
Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading
An intelligence analyst often needs to keep track of more facts than can be held in human memory. As a result, analysts use a notebook or evidence file to record facts learned so f...
Eric A. Bier, Edward W. Ishak, Ed Chi
JUCS
2008
156views more  JUCS 2008»
13 years 7 months ago
Efficient k-out-of-n Oblivious Transfer Schemes
Abstract: Oblivious transfer is an important cryptographic protocol in various security applications. For example, in on-line transactions, a k-out-of-n oblivious transfer scheme a...
Cheng-Kang Chu, Wen-Guey Tzeng
JSA
2006
97views more  JSA 2006»
13 years 7 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
MMS
2008
13 years 7 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu