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» Scalability of local image descriptors: a comparative study
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CIKM
2009
Springer
15 years 6 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
15 years 5 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
16 years 7 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»
14 years 11 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
15 years 5 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