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ECCV
2000
Springer
16 years 8 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
ECCV
2000
Springer
16 years 8 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ICPR
2000
IEEE
16 years 7 months ago
Topographic Maps of Color Images
We address the problem of extending topographic maps to color images. A topographic map gives a morphological and a geometrical representation of the information contained in natu...
Bartomeu Coll, Jacques Froment
ICPR
2000
IEEE
16 years 7 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
DCC
2000
IEEE
15 years 10 months ago
Fast Progressive Image Coding without Wavelets
We introduce a new image compression algorithm that allows progressive image reconstruction – both in resolution and in fidelity, with a fully embedded bitstream. The algorithm ...
Henrique S. Malvar