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CSDA
2007
99views more  CSDA 2007»
14 years 9 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 2 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 9 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 2 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 7 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