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» Learning Visual Invariance
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MVA
1992
13 years 9 months ago
The Domain of Orthogonal Transforms and the Understanding of Image Features
In this study, we explore the domain of orthogonal transforms, in order to bring an understanding on the characterization of image features, with emphasis placed on the Karhunen-L...
Malek Adjouadi, Habibie Sumargo, Jean Andrian, Fra...
DAGM
2005
Springer
14 years 1 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner
AAAI
2010
13 years 9 months ago
Interactive Learning Using Manifold Geometry
We present an interactive learning method that enables a user to iteratively refine a regression model. The user examines the output of the model, visualized as the vertical axis ...
Eric Eaton, Gary Holness, Daniel McFarlane
ICCV
2001
IEEE
14 years 10 months ago
Separating Appearance from Deformation
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...
Nebojsa Jojic, Patrice Simard, Brendan J. Frey, Da...
ICPR
2006
IEEE
14 years 9 months ago
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
Thomas Landgrebe, Pavel Paclík, Robert P. W...