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FLAIRS
2004
13 years 10 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
PRIS
2004
13 years 10 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
NIPS
2003
13 years 10 months ago
Predicting Speech Intelligibility from a Population of Neurons
A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener...
Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Ha...
MM
2010
ACM
146views Multimedia» more  MM 2010»
13 years 9 months ago
Understanding the security and robustness of SIFT
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Ams...
DAM
2010
95views more  DAM 2010»
13 years 9 months ago
Excessive factorizations of bipartite multigraphs
Let G be a multigraph. We say that G is 1-extendable if every edge of G is contained in a 1-factor. Suppose G is 1-extendable. An excessive factorization of G is a set F = {F1, F2...
David Cariolaro, Romeo Rizzi