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» Evaluating machine learning for information extraction
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BLISS
2009
IEEE
15 years 5 months ago
Recognition of Dynamic Texture Patterns Using CHLAC Features
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
Takumi Kobayashi, Tetsuya Higuchi, Tsuneharu Miyaj...
TASLP
2008
140views more  TASLP 2008»
15 years 4 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
IV
2007
IEEE
144views Visualization» more  IV 2007»
15 years 11 months ago
Evaluating an InfoVis Technique Using Insight Reports
The evaluation of Information Visualization (InfoVis) techniques can help to identify specific strengths and weaknesses of these methods. The following article describes the resu...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...
LREC
2010
140views Education» more  LREC 2010»
15 years 6 months ago
mwetoolkit: a Framework for Multiword Expression Identification
This paper presents the Multiword Expression Toolkit (mwetoolkit), an environment for type and language-independent MWE identification from corpora. The mwetoolkit provides a targ...
Carlos Ramisch, Aline Villavicencio, Christian Boi...
ICIP
2009
IEEE
16 years 5 months ago
Physics-based Illuminant Color Estimation As An Image Semantics Clue
Most algorithms for extracting illuminant chromaticity from arbitrary images, such as the images found on the web, are based on machine learning techniques. We will show how a phy...