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ICPR
2004
IEEE
15 years 11 months ago
Two-Stage Classification System combining Model-Based and Discriminative Approaches
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
Jonathan Milgram, Mohamed Cheriet, Robert Sabourin
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
15 years 10 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
MLDM
1999
Springer
15 years 2 months ago
Automatic Design of Multiple Classifier Systems by Unsupervised Learning
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
Giorgio Giacinto, Fabio Roli
AIPR
2003
IEEE
15 years 1 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
CIARP
2007
Springer
15 years 1 months ago
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
Ricardo Ñanculef, Carlos Valle, Héct...