Title
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification
Abstract
The nearest neighbor classifier (NNC) is a popular non-parametric classifier. It is a simple classifier with no design phase and shows good performance. Important factors affecting the efficiency and performance of NNC are (i) memory required to store the training set, (ii) classification time required to search the nearest neighbor of a given test pattern, and (iii) due to the curse of dimensionality it becomes severely biased when the dimensionality of the data is high with finite samples. In this paper we propose (i) a novel pattern synthesis technique to increase the density of patterns in the input feature space which can reduce the curse of dimensionality effect, (ii) a compact representation of the training set to reduce the memory requirement, (iii) a weak approximate nearest neighbor classifier which has constant classification time, and (iv) an ensemble of the approximate nearest neighbor classifiers where the individual classifier's decisions are combined based on the majority vote. The ensemble has constant classification time upperbound and according to empirical results, it shows good classification accuracy. A comparison based on empirical results is shown between our approaches and other related classifiers.
Year
DOI
Venue
2004
10.1016/j.inffus.2004.02.003
Information Fusion
Keywords
Field
DocType
Multi-classifier fusion,Ensemble of classifiers,Nearest neighbor classifier,Pattern synthesis,Approximate nearest neighbor classifier,Compact representation
k-nearest neighbors algorithm,Pattern recognition,Best bin first,Curse of dimensionality,Nearest neighbor graph,Artificial intelligence,Large margin nearest neighbor,Classifier (linguistics),Machine learning,Mathematics,Nearest neighbor search,Quadratic classifier
Journal
Volume
Issue
ISSN
5
4
1566-2535
Citations 
PageRank 
References 
11
0.88
14
Authors
3
Name
Order
Citations
PageRank
P. Viswanath114811.77
M. Narasimha Murty282486.07
Shalabh Bhatnagar380287.78