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» An Approach to Requirements Encapsulation with Clustering
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AINA
2006
IEEE
15 years 8 months ago
Clustering Protocol for Sensor Networks
In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...
Arjan Durresi, Vamsi Paruchuri, Leonard Barolli
113
Voted
SOFSEM
2007
Springer
15 years 8 months ago
Explicit Connectors in Component Based Software Engineering for Distributed Embedded Systems
Abstract. The increasing complexity of today’s embedded systems applications imposes the requirements and constraints of distributed, heterogeneous subsystem interaction to softw...
Dietmar Schreiner, Karl M. Göschka
COOPIS
2004
IEEE
15 years 5 months ago
Security Management Through Overloading Views
The model of overloading views is a facility allowing the programmer to separate some kinds of crosscutting concerns that occur during design, implementation and maintenance of dat...
Radoslaw Adamus, Kazimierz Subieta
169
Voted
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 6 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer