1191 search results - page 208 / 239 » INSPIRE: A New Method of Mapping Information Spaces |
MM
2004
ACM
14 years 1 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
IADIS
2008
13 years 9 months ago
2008
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
SSDBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...