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PRL
2006
99views more  PRL 2006»
13 years 4 months ago
An ensemble-driven k-NN approach to ill-posed classification problems
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
Mingmin Chi, Lorenzo Bruzzone
ICANN
2009
Springer
13 years 8 months ago
Probability-Based Distance Function for Distance-Based Classifiers
In the paper a new measure of distance between events/observations in the pattern space is proposed and experimentally evaluated with the use of k-NN classifier in the context of b...
Cezary Dendek, Jacek Mandziuk
CCIA
2007
Springer
13 years 9 months ago
Assessing Confidence in Cased Based Reuse Step
Case-Based Reasoning (CBR) is a learning approach that solves current situations by reusing previous solutions that are stored in a case base. In the CBR cycle the reuse step plays...
F. Alejandro García, Javier Orozco, Jordi G...
ICPR
2008
IEEE
13 years 11 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
ICCV
2007
IEEE
14 years 6 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...