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» Clustering by Similarity in an Auxiliary Space
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SSPR
2004
Springer
15 years 5 months ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
WSDM
2012
ACM
304views Data Mining» more  WSDM 2012»
13 years 8 months ago
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...
ICASSP
2008
IEEE
15 years 6 months ago
Audio retrieval by latent perceptual indexing
We present a query-by-example audio retrieval framework by indexing audio clips in a generic database as points in a latent perceptual space. First, feature-vectors extracted from...
Shiva Sundaram, Shrikanth Narayanan
COLING
2002
15 years 6 days ago
Concept Discovery from Text
Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
Dekang Lin, Patrick Pantel
97
Voted
ICTAI
2005
IEEE
15 years 6 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden