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» Using Clustering Methods for Discovering Event Structures
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DAGSTUHL
2009
15 years 3 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
102
Voted
ACL
2010
15 years 16 days ago
Mood Patterns and Affective Lexicon Access in Weblogs
The emergence of social media brings chances, but also challenges, to linguistic analysis. In this paper we investigate a novel problem of discovering patterns based on emotion an...
Thin Nguyen
115
Voted
ICIP
2003
IEEE
15 years 7 months ago
Automatically organizing digital photographs using time and content
We present similarity-based methods to cluster digital photos by time and image content. This approach is general, unsupervised, and makes minimal assumptions regarding the struct...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
141
Voted
IJCNN
2000
IEEE
15 years 6 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
BMCBI
2008
80views more  BMCBI 2008»
15 years 2 months ago
Towards an automatic classification of protein structural domains based on structural similarity
Background: Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual ste...
Vichetra Sam, Chin-Hsien Tai, Jean Garnier, Jean-F...