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Found 6 papers, 0 papers with code
FineMorphs: Affine-diffeomorphic sequences for regression
A multivariate regression model of affine and diffeomorphic transformation sequences - FineMorphs - is presented.
Preserving Derivative Information while Transforming Neuronal Curves
Then, the traces are mapped to common coordinate systems by transforming the positions of their points, which neglects how the transformation bends the line segments in between.
A generative neural network model for random dot product graphs
The neural network is trained to match the distribution of a class of random graphs by way of a moment estimator.
3D Normal Coordinate Systems for Cortical Areas
It is assumed that the cortical ribbon consists of cortical columns which are orthogonal to the white matter surface.
Diffeomorphic Learning
We introduce in this paper a learning paradigm in which the training data is transformed by a diffeomorphic transformation before prediction.
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing
Despite enormous progress in object detection and classification, the problem of incorporating expected contextual relationships among object instances into modern recognition systems remains a key challenge.
