16 search results - page 1 / 4 » Automatic Adjustment of Discriminant Adaptive Nearest Neighb... |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
SADM
2010
12 years 11 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...
PRL
2007
13 years 4 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...
SIGMOD
2002
ACM
14 years 4 months ago
2002
ACM
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
BMCBI
2006
2006
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
13 years 4 months ago
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...