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» Learning Features by Contrasting Natural Images with Noise
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ECCV
2010
Springer
14 years 1 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
IVC
2007
82views more  IVC 2007»
13 years 7 months ago
Cloud covering denoising through image fusion
This paper presents a solution to the cloud removal problem, based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) t...
Salvador Gabarda, Gabriel Cristóbal
CLEIEJ
2008
82views more  CLEIEJ 2008»
13 years 8 months ago
Postal Envelope Segmentation using Learning-Based Approach
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
Horacio Andrés Legal-Ayala, Jacques Facon, ...
JBI
2007
148views Bioinformatics» more  JBI 2007»
13 years 7 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...
PAMI
2007
110views more  PAMI 2007»
13 years 7 months ago
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
—This paper focus on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participa...
Hugo Proença, Luís A. Alexandre