DMIN
2006
13 years 9 months ago
2006
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
CASCON
2006
13 years 9 months ago
2006
For large data sets in medicine and science, efficient isosurface extraction and rendering is crucial for interactive visualization. Previous GPU acceleration techniques have been...
EMNLP
2008
13 years 9 months ago
2008
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
EMNLP
2007
13 years 9 months ago
2007
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
DMIN
2008
13 years 9 months ago
2008
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
COMAD
2008
13 years 9 months ago
2008
In this paper we present algorithms for identifying interesting subsets of a given database of records. In many real life applications, it is important to automatically discover s...
APVIS
2007
13 years 9 months ago
2007
Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
APVIS
2010
13 years 9 months ago
2010
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
AMW
2010
13 years 9 months ago
2010
Traditional optimizers fail to pick good execution plans, when faced with increasingly complex queries and large data sets. This failure is even more acute in the context of XQuery...
VVS
1995
IEEE
13 years 11 months ago
1995
IEEE
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...