15 search results - page 3 / 3 » Adaptive k-Nearest-Neighbor Classification Using a Dynamic N... |
CLEIEJ
2008
13 years 4 months ago
2008
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
IJCAT
2010
13 years 3 months ago
2010
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
Current approaches to K Nearest Neighbor (KNN) search in mobile sensor networks require certain kind of indexing support. This index could be either a centralized spatial index or...
FLAIRS
2008
13 years 7 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...
ICPR
2000
IEEE
13 years 8 months ago
2000
IEEE
Methods for controlling the adaptation process of an on-line handwritten character recognizer are studied. The classifier is based on the -nearest neighbor rule and it is adapted...