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» Clustering-Based K-Anonymisation Algorithms
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103
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ICCAD
2001
IEEE
84views Hardware» more  ICCAD 2001»
15 years 10 months ago
Minimum-Buffered Routing of Non-Critical Nets for Slew Rate and Reliability Control
In high-speed digital VLSI design, bounding the load capacitance at gate outputs is a well-known methodology to improve coupling noise immunity, reduce degradation of signal trans...
Charles J. Alpert, Andrew B. Kahng, Bao Liu, Ion I...
126
Voted
ICML
2005
IEEE
16 years 2 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
ICML
2005
IEEE
16 years 2 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
15 years 8 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
MLDM
2005
Springer
15 years 7 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...