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» On the Complexity of Ordinal Clustering
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ICCSA
2004
Springer
14 years 3 months ago
Semantic Completeness in Sub-ontology Extraction Using Distributed Methods
The use of ontologies lies at the very heart of the newly emerging era of Semantic Web. They provide a shared conceptualization of some domain that may be communicated between peop...
Mehul Bhatt, Carlo Wouters, Andrew Flahive, J. Wen...
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 3 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
ISCA
2003
IEEE
101views Hardware» more  ISCA 2003»
14 years 3 months ago
Overcoming the Limitations of Conventional Vector Processors
Despite their superior performance for multimedia applications, vector processors have three limitations that hinder their widespread acceptance. First, the complexity and size of...
Christoforos E. Kozyrakis, David A. Patterson
ISCC
2003
IEEE
140views Communications» more  ISCC 2003»
14 years 3 months ago
A Low-Energy Key Management Protocol for Wireless Sensor Networks
Sensor networks have recently gained popularity for a wide spectrum of applications. When performing monitoring tasks in hostile environments, security requirements become critical...
Gaurav Jolly, Mustafa C. Kusçu, Pallavi Kok...
SMI
2003
IEEE
143views Image Analysis» more  SMI 2003»
14 years 3 months ago
Rough Surface Modeling Using Surface Growth
In this paper, we present a novel modeling method for synthesizing rough surfaces using discrete surface growth models. We employ a two-pass method. Initial point cluster data is ...
Yootai Kim, Raghu Machiraju, David Thompson