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Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation
Computational Science – ICCS 2023, p.481-493
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Open Access
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On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression
e-Business and Telecommunications, p.267-280
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Semi-Supervised Clustering: Application to Image Segmentation
Advances in Data Analysis, p.39-50
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Pattern Recognition: 4th International Conference, ICPRAM 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers
1, 2016
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Learning Similarities from Examples under the Evidence Accumulation Clustering Paradigm
Similarity-Based Pattern Analysis and Recognition, 2013, p.85-117
2013
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On the Combination of Information-Theoretic Kernels with Generative Embeddings
Similarity-Based Pattern Analysis and Recognition, 2013, p.67-83
2013
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Emerging Causes of Encephalitis: Zika, Dengue, Chikungunya, and Beyond
Meningitis and Encephalitis, 2018, p.217-227
2018
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Foreword In Memoriam: José M. Bioucas‐Dias (1960–2020), a Humble Giant
Source Separation in Physical-Chemical Sensing, 2023
2023
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On the Use of ADMM for Imaging Inverse Problems: the Pros and Cons of Matrix Inversions
Topics in Applied Analysis and Optimisation, 2019, p.159-181
2019
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Matching Images to Models – Camera Calibration for 3-D Surface Reconstruction
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Lecture Notes in Computer Science
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Grouping with Directed Relationships
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Organization
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Energy Minimization Methods in Computer Vision and Pattern Recognition
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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D Flux Maximizing Flows
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Illumination Invariant Recognition of Color Texture Using Correlation and Covariance Functions
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Gabor Feature Space Diffusion via the Minimal Weighted Area Method
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Spherical Object Reconstruction Using Star-Shaped Simplex Meshes
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Designing Moiré Patterns
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001, Vol.2134
2001
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