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CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 8 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
150
Voted
DMIN
2006
160views Data Mining» more  DMIN 2006»
15 years 6 months ago
MF-tree: Extracting and Clustering the Structural Features from Music Object in MusicXML
In the music information retrieval field, the most important topic is to extract the feature which represents the content from the music objects. The content feature is useful for ...
Yu-Chih Shen, Jia-Lien Hsu, Shuk-Chun Chung
CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 5 months ago
Feature Level Clustering of Large Biometric Database
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
ICPR
2002
IEEE
15 years 10 months ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
163
Voted
LREC
2010
209views Education» more  LREC 2010»
15 years 6 months ago
Comparing Computational Models of Selectional Preferences - Second-order Co-Occurrence vs. Latent Semantic Clusters
This paper presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-order co-occurrence of pre...
Sabine Schulte im Walde