22 search results - page 2 / 5 » Kernel Methods for Exploratory Pattern Analysis: A Demonstra... |
SDM
2011
SIAM
12 years 8 months ago
2011
SIAM
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
DATAMINE
2006
13 years 5 months ago
2006
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
PR
2008
13 years 5 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...