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» Discriminative Direction for Kernel Classifiers
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ICIP
2010
IEEE
13 years 2 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
ICML
2003
IEEE
14 years 5 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky
AAAI
2000
13 years 6 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
ICANN
2007
Springer
13 years 8 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
ICASSP
2011
IEEE
12 years 8 months ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi...