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» MABAC - Matrix Based Clustering Algorithm
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78
Voted
ICIP
2009
IEEE
16 years 2 months ago
Effective Initialization Of K-means For Color Quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...
94
Voted
ICCAD
2001
IEEE
103views Hardware» more  ICCAD 2001»
15 years 10 months ago
Interconnect Resource-Aware Placement for Hierarchical FPGAs
In this paper, we utilize Rent’s rule as an empirical measure for efficient clustering and placement of circuits on hierarchical FPGAs. We show that careful matching of design c...
Amit Singh, Ganapathy Parthasarathy, Malgorzata Ma...
100
Voted
ICPR
2008
IEEE
15 years 8 months ago
A supervised learning approach for imbalanced data sets
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...
KI
2007
Springer
15 years 8 months ago
Relational Neural Gas
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
Barbara Hammer, Alexander Hasenfuss
134
Voted
FGR
2006
IEEE
217views Biometrics» more  FGR 2006»
15 years 8 months ago
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
Wei Fan, Dit-Yan Yeung