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VLSM
2005
Springer
15 years 5 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
101
Voted
ICIP
2000
IEEE
16 years 1 months ago
Texture-Based Segmentation of Satellite Weather Imagery
Unsupervised segmentation of weather images into features that correspond to physical storms is a fundamental and difficult problem. Treating an infrared satellite image as a Mark...
V. Lakshmanan, Victor E. DeBrunner, R. Rabin
MM
2006
ACM
130views Multimedia» more  MM 2006»
15 years 5 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
102
Voted
ICCV
2005
IEEE
15 years 5 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
EMNLP
2007
15 years 1 months ago
Topic Segmentation with Hybrid Document Indexing
We present a domain-independent unsupervised topic segmentation approach based on hybrid document indexing. Lexical chains have been successfully employed to evaluate lexical cohe...
Irina Matveeva, Gina-Anne Levow