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ACCV
2009
Springer
15 years 4 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
14 years 7 months ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou
TKDE
2012
250views Formal Methods» more  TKDE 2012»
13 years 2 days ago
Dense Subgraph Extraction with Application to Community Detection
— This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
Jie Chen 0007, Yousef Saad
TON
2012
13 years 3 days ago
Declarative Policy-Based Adaptive Mobile Ad Hoc Networking
—This paper presents DAWN, a declarative platform that creates highly adaptive policy-based MANET protocols. DAWN leverages declarative networking techniques to achieve extensibl...
Changbin Liu, Ricardo Correa, Xiaozhou Li, Prithwi...
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
15 years 10 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain