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DICTA
2009
14 years 10 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
IJCV
2008
266views more  IJCV 2008»
14 years 9 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
ICCV
2011
IEEE
13 years 9 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...
INFORMATICALT
2010
138views more  INFORMATICALT 2010»
14 years 7 months ago
Recognition of Human Emotions in Reasoning Algorithms of Wheelchair Type Robots
This paper analyses the possibilities of integrating different technological and knowledge representation techniques for the development of a framework for the remote control of mu...
Dale Dzemydiene, Antanas Andrius Bielskis, Arunas ...
IJCGA
2008
179views more  IJCGA 2008»
14 years 9 months ago
Computing the Hausdorff Distance between Curved Objects
The Hausdorff distance between two sets of curves is a measure for the similarity of these objects and therefore an interesting feature in shape recognition. If the curves are alg...
Helmut Alt, Ludmila Scharf