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CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
ICCV
2011
IEEE
12 years 7 months ago
Ask the locals: multi-way local pooling for image recognition
Invariant representations in object recognition systems are generally obtained by pooling feature vectors over spatially local neighborhoods. But pooling is not local in the featu...
Y-Lan Boureau, Nicolas Le Roux, francis bach, Jean...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
14 years 2 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
ICNS
2008
IEEE
14 years 2 months ago
SLA Monitoring and Management Framework for Telecommunication Services
This paper presents SLA monitoring and management framework for telecommunication services. The basic requirements of this class of systems are specified and verified in context o...
Jacek Kosinski, Piotr Nawrocki, Dominik Radziszows...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 6 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...