Reproducible Research in Pattern Recognition

Chapter 1 Extending IPOL to New Data Types and Machine-Learning Applications

Chapter 2 An Overview of Platforms for Reproducible Research and Augmented Publications

Chapter 3 A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image

Chapter 4 Discrete Regular Polygons for Digital Shape Rigid Motion via Polygonization

Chapter 5 Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings

Chapter 6 CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment

Chapter 7 Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes

Chapter 8 MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity

Chapter 9 On the Implementation of ALFA – Agglomerative Late Fusion Algorithm for Object Detection

Chapter 10 On Reproducibility of Deep Convolutional Neural Networks Approaches

Chapter 11 Some Comments on Variational Bayes Block Sparse Modeling with Correlated Entries

Chapter 12 An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming

Chapter 13 New Definition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation

Chapter 14 ReScience C: A Journal for Reproducible Replications in Computational Science