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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 4 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
SENSYS
2006
ACM
15 years 9 months ago
StarDust: a flexible architecture for passive localization in wireless sensor networks
The problem of localization in wireless sensor networks where nodes do not use ranging hardware, remains a challenging problem, when considering the required location accuracy, en...
Radu Stoleru, Pascal Vicaire, Tian He, John A. Sta...
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
15 years 9 months ago
Search Based Automatic Test-Data Generation at an Architectural Level
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...
Yuan Zhan, John A. Clark
138
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MICAI
2000
Springer
15 years 7 months ago
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
Teófilo Emídio de Campos, Rogé...
TMC
2008
159views more  TMC 2008»
15 years 2 months ago
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
Continued advances in mobile networks and positioning technologies have created a strong market push for location-based applications. Examples include location-aware emergency resp...
Bugra Gedik, Ling Liu