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» Features for image retrieval: an experimental comparison
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ICIAP
2005
ACM
16 years 6 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 12 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li
MM
2006
ACM
152views Multimedia» more  MM 2006»
16 years 7 days ago
Local image representations using pruned salient points with applications to CBIR
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti,...
ECCV
2006
Springer
16 years 8 months ago
Feature Points Tracking: Robustness to Specular Highlights and Lighting Changes
Since the precise modeling of reflection is a difficult task, most feature points trackers assume that objects are lambertian and that no lighting change occurs. To some extent, a ...
Michèle Gouiffès, Christophe Collewe...
ECCV
2002
Springer
16 years 8 months ago
A Comparison of Search Strategies for Geometric Branch and Bound Algorithms
Over the last decade, a number of methods for geometric matching based on a branch-and-bound approach have been proposed. Such algorithms work by recursively subdividing transforma...
Thomas M. Breuel