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» Hierarchical Unsupervised Learning
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ICCV
1999
IEEE
14 years 10 months ago
Unsupervised Image Classification with a Hierarchical EM Algorithm
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Annabelle Chardin, Patrick Pérez
AROBOTS
2010
128views more  AROBOTS 2010»
13 years 8 months ago
Track-based self-supervised classification of dynamic obstacles
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
Roman Katz, Juan Nieto, Eduardo Mario Nebot, Bertr...
ICIP
2003
IEEE
14 years 10 months ago
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
WEBI
2007
Springer
14 years 2 months ago
An unsupervised hierarchical approach to document categorization
— We propose a hierarchical approach to document categorization that requires no pre-configuration and maps the semantic document space to a predefined taxonomy. The utilizatio...
Robert Wetzker, Tansu Alpcan, Christian Bauckhage,...
MICCAI
2009
Springer
14 years 5 months ago
Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays
Research has shown that tumor vascular markers (TVMs) may serve as potential OCa biomarkers for prognosis prediction. One such TVM is ESM-1, which can be visualized by staining ova...
Andrew Janowczyk, Sharat Chandran, Rajendra Singh,...