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» Scalability of local image descriptors: a comparative study
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CIKM
2009
Springer
14 years 3 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
CIKM
2005
Springer
14 years 2 months ago
Localized routing trees for query processing in sensor networks
In this paper, we propose a novel energy-efficient approach, a localized routing tree (LRT) coupled with a route redirection (RR) strategy, to support various types of queries. LR...
Jie Lian, Lei Chen 0002, Kshirasagar Naik, M. Tame...
CVPR
2009
IEEE
15 years 4 months ago
Picking the best DAISY
Local image descriptors that are highly discriminative, computational efficient, and with low storage footprint have long been a dream goal of computer vision research. In this ...
Gang Hua, Matthew Brown, Simon A. J. Winder
PAMI
2008
270views more  PAMI 2008»
13 years 8 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
CIKM
2005
Springer
14 years 2 months ago
A model for weighting image objects in home photographs
The paper presents a contribution to image indexing consisting in a weighting model for visible objects – or image objects – in home photographs. To improve its effectiveness ...
Jean Martinet, Yves Chiaramella, Philippe Mulhem