88 search results - page 1 / 18 » Incorporating Forgetting in a Category Learning Model |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
NN
1998
Springer
13 years 4 months ago
1998
Springer
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...