8 search results - page 1 / 2 » An ensemble-driven k-NN approach to ill-posed classification... |
67
Voted
PRL
2006
14 years 9 months ago
2006
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...
86
Voted
ICANN
2009
Springer
15 years 1 months ago
2009
Springer
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...
CCIA
2007
Springer
15 years 1 months ago
2007
Springer
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...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
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...
90
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
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 ...