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ECTEL
2007
Springer
14 years 13 days ago
Evaluating the ALOCOM Approach for Scalable Content Repurposing
In this paper, an evaluation is presented of a framework that supports flexible content repurposing. Unlike the usual practice where content components, such as slides, images, def...
Katrien Verbert, Erik Duval
CGF
2007
134views more  CGF 2007»
13 years 6 months ago
3D Lip-Synch Generation with Data-Faithful Machine Learning
This paper proposes a new technique for generating three-dimensional speech animation. The proposed technique takes advantage of both data-driven and machine learning approaches. ...
Ig-Jae Kim, Hyeong-Seok Ko
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 4 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
HIS
2008
13 years 7 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
ICML
2005
IEEE
14 years 7 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty