4466 search results - page 391 / 894 » Large-Scale Data Analysis Using Heuristic Methods |
155
click to vote
ECML
2007
Springer
16 years 24 days ago
2007
Springer
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
160
Voted
ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
206
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
186
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
162
click to vote
RECOMB
1998
Springer
15 years 11 months ago
1998
Springer
The task of computing molecular structure from combinations of experimental and theoretical constraints is expensive because of the large number of estimated parameters (the 3D co...