Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

16

NIPS
1997

favoriteEmaildiscussreport

150views Information Technology» more NIPS 1997»

Active Data Clustering

13 years 5 months ago

Active Data Clustering

Download www.cs.brown.edu

Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and data analysis. The proposed active data sampling strategy is based on the expected value of information,aconcept rooting in statistical decision theory. This is considered to be an important step towards the analysis of largescale data sets, because it o ers a way to overcome the inherent data sparseness ofproximitydata. We present applications to unsupervised texture segmentation in computer vision and information retrieval in document databases.

Thomas Hofmann, Joachim M. Buhmann

Real-time Traffic

Active Data | Active Data Clustering | Data Sampling Strategy | NIPS 1997 | NIPS 2007 |

claim paper

Related Content

» Clustering Student Learning Activity Data

» Active Constrained Clustering by Examining Spectral Eigenvectors

» The Two Faces of Active Learning

» Hierarchical sampling for active learning

» GAD General Activity Detection for Fast Clustering on Large Data

» Active SemiSupervision for Pairwise Constrained Clustering

» Footprint tracking and recognition using a pressure sensing floor

» Active spectral clustering via iterative uncertainty reduction

» Active query selection for semisupervised clustering

Post Info
More Details (n/a)

Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	1997
Where	NIPS
Authors	Thomas Hofmann, Joachim M. Buhmann

Comments (0)