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Publications by Erik Learned-Miller
Learning Class-Specific Image Transformations With Higher-Order Boltzmann Machines
Improving State-Of-The-Art OCR Through High-Precision Document-Specific Modeling
Augmenting CRFs With Boltzmann Machine Shape Priors for Image Labeling
Online Domain Adaptation of a Pre-Trained Cascade of Classifiers
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Semantic Segmentation of Aerial Images in Urban Areas With Class-Specific Higher-Order Cliques
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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On Learning Higher-Order Consistency Potentials for Multi-Class Pixel Labeling
Lecture Notes in Computer Science
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Transformation Equivariant Boltzmann Machines
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Higher-Order Unification Revisited: Complete Sets of Transformations
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Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines
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Bayesian Hyperspectral Image Segmentation With Discriminative Class Learning
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Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size
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Enhanced Extreme Learning Machines for Image Classification
Using Meta-Code Generation to Realize Higher-Order Model Transformations
