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MCS
2009
Springer
15 years 9 months ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
ICPR
2000
IEEE
15 years 9 months ago
Design of Effective Multiple Classifier Systems by Clustering of Classifiers
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
IJCNN
2000
IEEE
15 years 9 months ago
Unsupervised Learning of Neural Network Ensembles for Image Classification
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
ICIAP
1999
ACM
15 years 9 months ago
Methods for Dynamic Classifier Selection
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
Giorgio Giacinto, Fabio Roli
ICIAP
1997
ACM
15 years 9 months ago
Lossless Compression of Pre-press Images Using a Novel Colour Decorrelation Technique
Most existing lossless image compression schemes operate on grey-scale images. However, in the case of colour images, higher compression ratios can be achieved by exploiting inter...
Steven Van Assche, Wilfried Philips, Ignace Lemahi...