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ICPR
2000
IEEE
16 years 5 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
TKDE
2008
115views more  TKDE 2008»
15 years 4 months ago
Time-Aware Web Users' Clustering
Web users clustering is a crucial task for mining information related to users needs and preferences. Up to now, popular clustering approaches build clusters based on usage pattern...
Sophia G. Petridou, Vassiliki A. Koutsonikola, Ath...
CIKM
2006
Springer
15 years 8 months ago
3DString: a feature string kernel for 3D object classification on voxelized data
Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approac...
Johannes Aßfalg, Karsten M. Borgwardt, Hans-...
ICPR
2000
IEEE
16 years 5 months ago
Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences
This paper1 describes a method for tracking regions in image sequences. Regions segmented from each frame by a motion segmentation technique are matched by using a relaxation proc...
Filiberto Pla, Jorge Badenas, José M. Sanch...
DAGM
2004
Springer
15 years 10 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange