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CSDA
2007
99views more  CSDA 2007»
14 years 11 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
CLUSTER
2002
IEEE
15 years 4 months ago
Protocol-Dependent Message-Passing Performance on Linux Clusters
In a Linux cluster, as in any multi-processor system, the inter-processor communication rate is the major limiting factor to its general usefulness. This research is geared toward...
Dave Turner, Xuehua Chen
IPM
2007
158views more  IPM 2007»
14 years 11 months ago
Validation and interpretation of Web users' sessions clusters
Understanding users’ navigation on the Web is important towards improving the quality of information and the speed of accessing large-scale Web data sources. Clustering of users...
George Pallis, Lefteris Angelis, Athena Vakali
IBPRIA
2009
Springer
15 years 4 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
EMNLP
2010
14 years 9 months ago
Unsupervised Discovery of Negative Categories in Lexicon Bootstrapping
Multi-category bootstrapping algorithms were developed to reduce semantic drift. By extracting multiple semantic lexicons simultaneously, a category's search space may be res...
Tara McIntosh