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» Constructing Ensembles from Data Envelopment Analysis
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BMCBI
2006
150views more  BMCBI 2006»
15 years 12 days ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
132
Voted
ICDAR
2009
IEEE
14 years 10 months ago
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs
In this paper, an approach based on the combination of discrete Hidden Markov Models (HMMs) in the ROC space is proposed to improve the performance of off-line signature verificat...
Luana Batista, Eric Granger, Robert Sabourin
87
Voted
HCI
2009
14 years 10 months ago
Toward EEG Sensing of Imagined Speech
Might EEG measured while one imagines words or sentences provide enough information for one to identify what is being thought? Analysis of EEG data from an experiment in which two ...
Michael D'Zmura, Siyi Deng, Tom Lappas, Samuel Tho...
VVS
1998
IEEE
115views Visualization» more  VVS 1998»
15 years 4 months ago
Extracting ISO-Valued Features in 4-Dimensional Scalar Fields
Isosurfaces are an important tool for finding features in 3D scalar data. This paper describes how recursive contour meshing is applied to extract similar features in 4-dimensiona...
Chris Weigle, David C. Banks
91
Voted
IJCAT
2010
93views more  IJCAT 2010»
14 years 10 months ago
FAETON: Form Analysis and Extraction Tool for ONtology construction
Abstract: This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilit...
Rafael Berlanga Llavori, Ernesto Jiménez-Ru...