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» A General Method for Feature Matching and Model Extraction
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JCDL
2003
ACM
160views Education» more  JCDL 2003»
15 years 8 months ago
Automatic Document Metadata Extraction Using Support Vector Machines
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zh...
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 5 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
121
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
111
Voted
CMMR
2003
Springer
101views Music» more  CMMR 2003»
15 years 8 months ago
Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria
In the context of musical analysis, we propose an algorithm that automatically induces patterns from polyphonies. We define patterns as “perceptible repetitions in a musical piec...
Benoit Meudic, Emmanuel Staint-James
100
Voted
ICPR
2006
IEEE
16 years 4 months ago
Image classification: Classifying distributions of visual features
We classify an image by generating a list of salient visual features present in the luminance channel, and matching the resulting variable-length feature list to categoryspecific ...
Prateek Sarkar