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» Learning Models for Object Recognition
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PPSN
2004
Springer
14 years 1 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
CVPR
2005
IEEE
14 years 9 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICCV
1995
IEEE
13 years 11 months ago
Learning Geometric Hashing Functions for Model-Based Object Recognition
George Bebis, Michael Georgiopoulos, Niels da Vito...
IJCV
2010
145views more  IJCV 2010»
13 years 6 months ago
Learning Active Basis Model for Object Detection and Recognition
Ying Nian Wu, Zhangzhang Si, Haifeng Gong, Song Ch...
NN
2008
Springer
153views Neural Networks» more  NN 2008»
13 years 7 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner