501 search results - page 60 / 101 » Kernel Nearest Neighbor Algorithm |
KAIS
2007
13 years 7 months ago
2007
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
RECOMB
2005
Springer
14 years 8 months ago
2005
Springer
We develop an iterative relaxation algorithm, called RIBRA, for NMR protein backbone assignment. RIBRA applies nearest neighbor and weighted maximum independent set algorithms to ...
ICDAR
2003
IEEE
14 years 29 days ago
2003
IEEE
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...