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ICMCS
2008
IEEE
179views Multimedia» more  ICMCS 2008»
16 years 8 days ago
Key-frame extraction using dominant-set clustering
Key frames play an important role in video abstraction. Clustering is a popular approach for key-frame extraction. In this paper, we propose a novel method for key-frame extractio...
Xianglin Zeng, Weiming Hu, Wanqing Li, Xiaoqin Zha...
ICPR
2008
IEEE
16 years 8 days ago
Constrained clustering by a novel graph-based distance transformation
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Kai Rothaus, Xiaoyi Jiang
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
15 years 12 months ago
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
The nonnegative matrix factorization (NMF) has been shown recently to be useful for clustering. Various extensions of NMF have also been proposed. In this paper we present an over...
Tao Li, Chris H. Q. Ding
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
15 years 12 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
ISICT
2003
15 years 7 months ago
The influence of semantics in IR using LSI and K-means clustering techniques
In this paper we study the influence of semantics in the information retrieval preprocessing. We concretely compare the reached performance with stemming and semantic lemmatizatio...
Daniel Jiménez, Edgardo Ferretti, Vicente V...