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COLT
2010
Springer
15 years 4 months ago
Robust Hierarchical Clustering
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
Maria-Florina Balcan, Pramod Gupta
VLDB
1999
ACM
224views Database» more  VLDB 1999»
15 years 10 months ago
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
Alexander Hinneburg, Daniel A. Keim
EMNLP
2011
14 years 6 months ago
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering ...
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Ch...
EUROMICRO
2003
IEEE
15 years 11 months ago
Polishing: A Technique to Reduce Variations in Cached Layer-Encoded Video
In this paper we present polishing, a novel technique to maximize the playback utility of a streamed layer-encoded video. Polishing reduces the amount of layer variations in a cac...
Michael Zink, Oliver Heckmann, Jens Schmitt, Andre...
WWW
2004
ACM
16 years 7 months ago
A combined approach to checking web ontologies
The understanding of Semantic Web documents is built upon ontologies that define concepts and relationships of data. Hence, the correctness of ontologies is vital. Ontology reason...
Jin Song Dong, Chew Hung Lee, Hian Beng Lee, Yuan-...