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» Learning to Construct Fast Signal Processing Implementations
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ICASSP
2008
IEEE
15 years 8 months ago
A fast approximate joint diagonalization algorithm using a criterion with a block diagonal weight matrix
We propose a new algorithm for Approximate Joint Diagonalization (AJD) with two main advantages over existing state-of-the-art algorithms: Improved overall running speed, especial...
Petr Tichavský, Arie Yeredor, Jan Nielsen
88
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Fast structural similarity index algorithm
The development of real-time image quality assessment algorithms is an important direction on which little research has focused. This paper presents a design of real-time implemen...
Ming-Jun Chen, Alan Conrad Bovik
128
Voted
ICMLA
2009
14 years 11 months ago
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms....
Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumer...
ICIP
2003
IEEE
16 years 3 months ago
Inverse halftoning by decision tree learning
Inverse halftoning is the process to retrieve a (gray) continuous-tone image from a halftone. Recently, machinelearning-based inverse halftoning techniques have been proposed. Dec...
Hae Yong Kim, Ricardo L. de Queiroz
DATAMINE
1998
249views more  DATAMINE 1998»
15 years 1 months ago
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
Sreerama K. Murthy