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AIA
2006
14 years 11 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
DICTA
2009
14 years 11 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
CVPR
2007
IEEE
15 years 11 months ago
Stereo Matching on Objects with Fractional Boundary
Conventional stereo matching algorithms assume color constancy on the corresponding opaque pixels in the stereo images. However, when the foreground objects with fractional bounda...
Wei Xiong, Jiaya Jia
ATAL
2006
Springer
15 years 1 months ago
Formalizing typicality of objects and context-sensitivity in ontologies
In multiagent systems ontologies are essential because they facilitate tasks like communications and reasoning. In this paper, inspired by studies in cognitive psychology, we pres...
Ching-man Au Yeung, Ho-fung Leung
ICIP
2009
IEEE
14 years 7 months ago
Expanded bag of words representation for object classification
Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationshi...
Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu