58 search results - page 4 / 12 » Adaptive Kernel Metric Nearest Neighbor Classification |
NIPS
2001
13 years 8 months ago
2001
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
FLAIRS
2008
13 years 9 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 2 months 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...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
ACCV
2010
Springer
13 years 2 months 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...