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Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings

1, 2021

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Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy

IEEE transactions on image processing, 2013-09, Vol.22 (9), p.3648-3663

2013

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Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

1, 2016

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Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings

1st ed. 2018., 2018

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Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21–22, 2021, Proceedings

2021

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IterDet: Iterative Scheme for Object Detection in Crowded Environments

Structural, Syntactic, and Statistical Pattern Recognition, p.344-354

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Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature

Structural, Syntactic, and Statistical Pattern Recognition, p.324-333

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Learning High-Resolution Domain-Specific Representations with a GAN Generator

Structural, Syntactic, and Statistical Pattern Recognition, p.108-118

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Predicting Polypharmacy Side Effects Through a Relation-Wise Graph Attention Network

Structural, Syntactic, and Statistical Pattern Recognition, p.119-128

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LGL-GNN: Learning Global and Local Information for Graph Neural Networks

Structural, Syntactic, and Statistical Pattern Recognition, p.129-138

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On Calibration of Mixup Training for Deep Neural Networks

Structural, Syntactic, and Statistical Pattern Recognition, p.67-76

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A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels

Structural, Syntactic, and Statistical Pattern Recognition, p.237-247

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An Alternative Exploitation of Isolation Forests for Outlier Detection

Structural, Syntactic, and Statistical Pattern Recognition, p.34-44

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A Metric Learning Approach to Graph Edit Costs for Regression

Structural, Syntactic, and Statistical Pattern Recognition, p.238-247

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On Fast Sample Preselection for Speeding up Convolutional Neural Network Training

Structural, Syntactic, and Statistical Pattern Recognition, p.65-75

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Graph Time Series Analysis Using Transfer Entropy

Structural, Syntactic, and Statistical Pattern Recognition, p.217-226

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StegColNet: Steganalysis Based on an Ensemble Colorspace Approach

Structural, Syntactic, and Statistical Pattern Recognition, p.313-323

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A Graph Pre-image Method Based on Graph Edit Distances

Structural, Syntactic, and Statistical Pattern Recognition, p.216-226

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Feature Extraction Functions for Neural Logic Rule Learning

Structural, Syntactic, and Statistical Pattern Recognition, p.98-107

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Target Robust Discriminant Analysis

Structural, Syntactic, and Statistical Pattern Recognition, p.3-13

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Weighted Network Analysis Using the Debye Model

Structural, Syntactic, and Statistical Pattern Recognition, p.153-163

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Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications

Structural, Syntactic, and Statistical Pattern Recognition, p.355-364

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Metric Learning for Multi-label Classification

Structural, Syntactic, and Statistical Pattern Recognition, p.24-33

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Parallel Subgraph Isomorphism on Multi-core Architectures: A Comparison of Four Strategies Based on Tree Search

Structural, Syntactic, and Statistical Pattern Recognition, p.248-258

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Augmenting Graph Convolutional Neural Networks with Highpass Filters

Structural, Syntactic, and Statistical Pattern Recognition, p.77-86

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Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings

Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21–22, 2021, Proceedings

IterDet: Iterative Scheme for Object Detection in Crowded Environments

Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature

Learning High-Resolution Domain-Specific Representations with a GAN Generator

Predicting Polypharmacy Side Effects Through a Relation-Wise Graph Attention Network

LGL-GNN: Learning Global and Local Information for Graph Neural Networks

On Calibration of Mixup Training for Deep Neural Networks

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels

An Alternative Exploitation of Isolation Forests for Outlier Detection

A Metric Learning Approach to Graph Edit Costs for Regression

On Fast Sample Preselection for Speeding up Convolutional Neural Network Training

Graph Time Series Analysis Using Transfer Entropy

StegColNet: Steganalysis Based on an Ensemble Colorspace Approach

A Graph Pre-image Method Based on Graph Edit Distances

Feature Extraction Functions for Neural Logic Rule Learning

Target Robust Discriminant Analysis

Weighted Network Analysis Using the Debye Model

Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications

Metric Learning for Multi-label Classification

Parallel Subgraph Isomorphism on Multi-core Architectures: A Comparison of Four Strategies Based on Tree Search

Augmenting Graph Convolutional Neural Networks with Highpass Filters

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