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» Is Combining Classifiers Better than Selecting the Best One
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MICCAI
2007
Springer
14 years 10 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
ACMMSP
2004
ACM
101views Hardware» more  ACMMSP 2004»
14 years 2 months ago
Metrics and models for reordering transformations
Irregular applications frequently exhibit poor performance on contemporary computer architectures, in large part because of their inefficient use of the memory hierarchy. Runtime ...
Michelle Mills Strout, Paul D. Hovland
CGO
2005
IEEE
14 years 2 months ago
Automatic Generation of High-Performance Trace Compressors
Program execution traces are frequently used in industry and academia. Yet, most trace-compression algorithms have to be re-implemented every time the trace format is changed, whi...
Martin Burtscher, Nana B. Sam
ICDAR
2003
IEEE
14 years 2 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
BMCBI
2010
125views more  BMCBI 2010»
13 years 9 months ago
Large-scale prediction of protein-protein interactions from structures
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...
Martial Hue, Michael Riffle, Jean-Philippe Vert, W...