
Learning MultiModal Nonlinear Embeddings: Performance Bounds and an Algorithm
While many approaches exist in the literature to learn representations f...
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Graph Domain Adaptation with Localized Graph Signal Representations
In this paper we propose a domain adaptation algorithm designed for grap...
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Mask Combination of Multilayer Graphs for Global Structure Inference
Structure inference is an important task for network data processing and...
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Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm
Traditional machine learning algorithms assume that the training and tes...
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Domain Adaptation on Graphs by Learning Aligned Graph Bases
We propose a method for domain adaptation on graphs. Given sufficiently ...
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Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification
Sparse representations using overcomplete dictionaries have proved to be...
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Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings
The recovery of the intrinsic geometric structures of data collections i...
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GeometryAware Neighborhood Search for Learning Local Models for Image Reconstruction
Local learning of sparse image models has proven to be very effective to...
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Outofsample generalizations for supervised manifold learning for classification
Supervised manifold learning methods for data classification map data sa...
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A Study of Image Analysis with Tangent Distance
The computation of the geometric transformation between a reference and ...
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Learning Smooth Pattern Transformation Manifolds
Manifold models provide lowdimensional representations that are useful ...
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Discretization of Parametrizable Signal Manifolds
Transformationinvariant analysis of signals often requires the computat...
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Elif Vural
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