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» Unsupervised Clustering In Streaming Data
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ECML
2007
Springer
15 years 4 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
GRID
2004
Springer
15 years 3 months ago
High Performance Threaded Data Streaming for Large Scale Simulations
We have developed a threaded parallel data streaming approach using Logistical Networking (LN) to transfer multi-terabyte simulation data from computers at NERSC to our local anal...
Viraj Bhat, Scott Klasky, Scott Atchley, Micah Bec...
WWW
2010
ACM
15 years 5 months ago
Relational duality: unsupervised extraction of semantic relations between entities on the web
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
INEX
2005
Springer
15 years 3 months ago
Clustering XML Documents Using Self-organizing Maps for Structures
Self-Organizing Maps capable of encoding structured information will be used for the clustering of XML documents. Documents formatted in XML are appropriately represented as graph ...
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer