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» A Method for Dynamic Clustering of Data
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DAGM
1998
Springer
15 years 11 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 10 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
CIKM
2008
Springer
15 years 8 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
DICTA
2007
15 years 8 months ago
On the Induction of Topological Maps from Sequences of Colour Histograms
This paper presents an appearance–based method to automatically determine places from vision data for topological mapping. The approach exploits the continuity of the visual app...
Felix Werner, Joaquin Sitte, Frédéri...
LREC
2008
174views Education» more  LREC 2008»
15 years 8 months ago
UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, we generate syntactic parses of sentences in an entirely unsupervised and self-...
Christian Hänig, Stefan Bordag, Uwe Quasthoff