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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 6 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
SSPR
2010
Springer
15 years 4 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
COMPLEX
2009
Springer
16 years 16 days ago
Retail Location Choice with Complementary Goods: An Agent-Based Model
This paper examines the emergence of retail clusters on a supply chain network comprised of suppliers, retailers, and consumers. An agent-based model is proposed to investigate ret...
Arthur Huang, David Levinson
ISMAR
2009
IEEE
16 years 18 days ago
Augmenting text document by on-line learning of local arrangement of keypoints
We propose a technique for text document tracking over a large range of viewpoints. Since the popular SIFT or SURF descriptors typically fail on such documents, our method conside...
Hideaki Uchiyama, Hideo Saito
ICAPR
2009
Springer
16 years 16 days ago
A Skin-Color and Template Based Technique for Automatic Ear Detection
This paper proposes an efficient skin-color and template based technique for automatic ear detection in a side face image. The technique first separates skin regions from nonski...
Surya Prakash, Umarani Jayaraman, Phalguni Gupta