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CVPR
2007
IEEE
16 years 1 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ICCV
2007
IEEE
16 years 1 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
MOBIWAC
2009
ACM
15 years 3 months ago
Adaptive, direction-aware data dissemination for diverse sensor mobility
We consider sensor networks where the sensor nodes are attached on entities that move in a highly dynamic, heterogeneous manner. To capture this mobility diversity we introduce a ...
Azzedine Boukerche, Dionysios Efstathiou, Sotiris ...
ICVGIP
2008
15 years 19 days ago
Automated Flower Classification over a Large Number of Classes
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower da...
Maria-Elena Nilsback, Andrew Zisserman
CVPR
2010
IEEE
14 years 11 months ago
Fast directional chamfer matching
We study the object localization problem in images given a single hand-drawn example or a gallery of shapes as the object model. Although many shape matching algorithms have been ...
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Ram...