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» Learning from Highly Structured Data by Decomposition
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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 10 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ASPLOS
2010
ACM
15 years 4 months ago
MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...
BMCBI
2007
144views more  BMCBI 2007»
14 years 9 months ago
Gene analogue finder: a GRID solution for finding functionally analogous gene products
Background: To date more than 2,1 million gene products from more than 100000 different species have been described specifying their function, the processes they are involved in a...
Angelica Tulipano, Giacinto Donvito, Flavio Licciu...
BMCBI
2002
214views more  BMCBI 2002»
14 years 9 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 4 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira