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ORCIDRRPR 2018: Beijing, China
- Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot:
Reproducible Research in Pattern Recognition - Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11455, Springer 2019, ISBN 978-3-030-23986-2
Invited Talks
- Miguel Colom:
Extending IPOL to New Data Types and Machine-Learning Applications. 3-24 - Miguel Colom, Bertrand Kerautret, Adrien Krähenbühl:
An Overview of Platforms for Reproducible Research and Augmented Publications. 25-39
Reproducible Research Results
- Pascal Monasse
:
A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image. 43-54 - Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Isabelle Debled-Rennesson:
Discrete Regular Polygons for Digital Shape Rigid Motion via Polygonization. 55-70 - Anguelos Nicolaou, Sounak Dey, Vincent Christlein, Andreas K. Maier, Dimosthenis Karatzas:
Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings. 71-82
RRPR Short Papers
- Rocco Pietrini, Daniele Liciotti, Marina Paolanti, Emanuele Frontoni, Primo Zingaretti:
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment. 85-88 - Federico Bolelli, Michele Cancilla, Lorenzo Baraldi, Costantino Grana:
Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes. 89-93 - Guangliang Chen:
MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity. 94-97 - Iuliia Saveleva, Evgenii Razinkov:
On the Implementation of ALFA - Agglomerative Late Fusion Algorithm for Object Detection. 98-103 - Gabriele Piantadosi, Stefano Marrone, Carlo Sansone:
On Reproducibility of Deep Convolutional Neural Networks Approaches. 104-109 - Shruti Sharma, Santanu Chaudhury, Jayadeva:
Some Comments on Variational Bayes Block Sparse Modeling with Correlated Entries. 110-117
Invited Reproducible Research Contributions
- Michaël Roynard, Edwin Carlinet, Thierry Géraud:
An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming. 121-137 - Antoine Vacavant, Marie-Ange Lèbre, Hugo Rositi, Manuel Grand-Brochier, Robin Strand:
New Definition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation. 138-149 - Nicolas P. Rougier, Konrad Hinsen:
ReScience C: A Journal for Reproducible Replications in Computational Science. 150-156
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