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Monthly Archives: November 2015
Tutorial: The Open Set Recognition Problem in Information Forensics and Security
Despite the great science progress we have seen in automated methods for information forensics and security, this tutorial presented at WIFS2015 by Prof. Anderson Rocha of RECOD/Unicamp and Prof. Walter Scheirer of University of Notre Dame, focuses on the major … Continue reading
Posted in blog, talk
Tagged Anderson Rocha, information forensics and security, open set recognition, tutorial, Walter Scheirer, WIFS
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Prof. Anderson Rocha reelected to IEEE IFS-TC
Prof. Anderson Rocha of RECOD was reelected to the IEEE IFS-TC —Information Forensics and Security Technical Committee — for a second term, from 2016 to 2018. The IEEE IFS-TC promotes activities in the broad areas of information forensics and security, including: data hiding, forensic analysis, cryptography, … Continue reading
Medical image registration based on watershed transform from greyscale marker and multi-scale parameter search
RECOD research group in collaboration with Prof. Alexandre Falcão, Center for Information Technology Renato Archer and Neuroimaging Laboratory propose an automatic 3D medical image registration method that combines the watershed transform from greyscale marker with a robust optimisation algorithm, called … Continue reading
Posted in blog, publications, science
Tagged Alexandre Falcão, Anderson Rocha, biomedical image processing, Clarissa Yasuda, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Felipe Bergo, Fernanda Favretto, Giovani Chiachia, global optimisers, Guilherme Ruppert, medical image registration, multi-scale parameter search, optimisation methods, watershed transform
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Beyond Lesion-based Diabetic Retinopathy: a Direct Approach for Referral
Extending the classical approach of Bags of Visual Words, the latest RECOD research on Diabetic Retinopathy – Beyond Lesion-based Diabetic Retinopathy: a Direct Approach for Referral – has just been published on the Journal of Biomedical and Health Informatics (J-BHI), which … Continue reading
Time Series-based Classifier Fusion for Fine-Grained Plant Species Recognition
The strong research relationships between RECOD and collaborators have resulted in publications spanning various fields, from Machine Learning to health to e-Science. The latest result is the article “Time series-based classifier fusion for fine-grained plant species recognition”, published in the … Continue reading
RECOD — Reasoning for Complex Data 