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» Exploiting Unlabeled Data in Content-Based Image Retrieval
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VISUAL
2005
Springer
14 years 29 days ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
ICASSP
2008
IEEE
14 years 1 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
CVPR
2008
IEEE
14 years 9 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
SIGIR
2010
ACM
13 years 7 months ago
SED: supervised experimental design and its application to text classification
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Yi Zhen, Dit-Yan Yeung
ICIAR
2010
Springer
13 years 11 months ago
A Geometric Data Structure Applicable to Image Mining and Retrieval
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
T. Iwaszko, Mahmoud Melkemi, Lhassane Idoumghar