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MIR
2010
ACM
167views Multimedia» more  MIR 2010»
14 years 2 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
BNCOD
2006
88views Database» more  BNCOD 2006»
13 years 8 months ago
The Lixto Project: Exploring New Frontiers of Web Data Extraction
The Lixto project is an ongoing research effort in the area of Web data extraction. Whereas the project originally started out with the idea to develop a logic-based extraction lan...
Julien Carme, Michal Ceresna, Oliver Frölich,...
CGF
2005
311views more  CGF 2005»
13 years 7 months ago
Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively witho...
Chien-Chang Ho, Fu-Che Wu, Bing-Yu Chen, Yung-Yu C...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 12 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
COLING
2008
13 years 8 months ago
Extractive Summarization Using Supervised and Semi-Supervised Learning
It is difficult to identify sentence importance from a single point of view. In this paper, we propose a learning-based approach to combine various sentence features. They are cat...
Kam-Fai Wong, Mingli Wu, Wenjie Li