39 search results - page 3 / 8 » Adaptive Metric nearest Neighbor Classification |
PRL
2007
13 years 5 months ago
2007
The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes...
FLAIRS
2008
13 years 8 months ago
2008
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
SADM
2010
13 years 11 days ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
ACCV
2010
Springer
13 years 20 days ago
2010
Springer
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...
PAMI
2008
13 years 5 months ago
2008
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...