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» Outlier-aware robust clustering
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NIPS
2007
14 years 11 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
HIS
2003
14 years 11 months ago
On the Performance of Ant-based Clustering
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It has been applied variously, from problems arising in commerce, to circuit design, t...
Julia Handl, Joshua D. Knowles, Marco Dorigo
ICDAR
2011
IEEE
13 years 9 months ago
Robust Vanishing Point Detection for MobileCam-Based Documents
—Document images captured by a mobile phone camera often have perspective distortions. In this paper, fast and robust vanishing point detection methods for such perspective docum...
Xu-Cheng Yin, Hong-Wei Hao, Jun Sun 0004, Satoshi ...
PAMI
2012
13 years 7 days ago
Angular Embedding: A Robust Quadratic Criterion
Abstract—Given the size and confidence of pairwise local orderings, angular embedding (AE) finds a global ordering with a nearglobal optimal eigensolution. As a quadratic crite...
Stella Yu
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 1 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin