47 results on '"Figueiredo, Mário"'
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2. An MML Embedded Approach for Estimating the Number of Clusters
3. Iterative Imputation of Missing Data Using Auto-Encoder Dynamics
4. On the Use of ADMM for Imaging Inverse Problems: the Pros and Cons of Matrix Inversions
5. Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm
6. Sharpening Hyperspectral Images Using Plug-and-Play Priors
7. Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding
8. Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data
9. Erratum to: A MAP Approach to Evidence Accumulation Clustering
10. A MAP Approach to Evidence Accumulation Clustering
11. Feature Discretization with Relevance and Mutual Information Criteria
12. Clustering and Selecting Categorical Features
13. An Incremental Bit Allocation Strategy for Supervised Feature Discretization
14. On the Combination of Information-Theoretic Kernels with Generative Embeddings
15. Consensus Clustering Using Partial Evidence Accumulation
16. Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm
17. Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields
18. Boosting Algorithms: A Review of Methods, Theory, and Applications
19. Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters
20. Trajectory Analysis Using Switched Motion Fields: A Parametric Approach
21. Unsupervised Joint Feature Discretization and Selection
22. Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
23. Trajectory Modeling Using Mixtures of Vector Fields
24. On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression
25. Blind Estimation of Motion Blur Parameters for Image Deconvolution
26. Semi-Supervised Clustering: Application to Image Segmentation
27. On Semi-supervised Learning
28. Information Theoretic Text Classification Using the Ziv-Merhav Method
29. Bayesian Image Segmentation Using Gaussian Field Priors
30. Defect Detection in Textile Images Using Gabor Filters
31. A Feature Selection Wrapper for Mixtures
32. Adaptive Sparse Regression
33. Adaptive parametrically deformable contours
34. Signal and Image Restoration Using a Standard Hopfield Neural Network
35. Similarity-Based Clustering of Sequences Using Hidden Markov Models
36. A MAP Approach to Evidence Accumulation Clustering.
37. Feature Discretization with Relevance and Mutual Information Criteria.
38. Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields.
39. On the Combination of Information-Theoretic Kernels with Generative Embeddings.
40. Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm.
41. Clustering and Selecting Categorical Features.
42. Trajectory Modeling Using Mixtures of Vector Fields.
43. Inferring Network Structure from Co-Occurrences.
44. Clustering Under Prior Knowledge with Application to Image Segmentation.
45. Bayesian Image Segmentation Using Gaussian Field Priors.
46. Information Theoretic Text Classification Using the Ziv-Merhav Method.
47. On Semi-supervised Learning.
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