112 results on '"Martín-Clemente, Rubén"'
Search Results
2. L1-norm unsupervised Fukunaga-Koontz transform
3. AIoT in Agriculture: Safeguarding Crops from Pest and Disease Threats
4. Unsupervised Classification of Zero-Mean Data Based on L1-Norm Principal Component Analysis
5. Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression
6. Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning
7. Exploratory Analysis of Brain with ICA
8. Unsupervised and Computationally Lightweight Spectrum Sensing in IoT Devices
9. Fast Independent Component Analysis Using a New Property
10. Independent Component Analysis: A Low-Complexity Technique
11. A hypothesis-driven method based on machine learning for neuroimaging data analysis
12. Connections Between ICA and Sparse Coding Revisited
13. On the Connection Between the Human Visual System and Independent Component Analysis
14. Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach
15. Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals
16. New Eigensystem-Based Method for Blind Source Separation
17. Application of Independent Component Analysis to Edge Detection and Watermarking
18. Applying Neural Networks and Genetic Algorithms to the Separation of Sources
19. A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources
20. Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton’s Method
21. Unsupervised and Computationally Lightweight Spectrum Sensing in IoT Devices †
22. Exploratory Analysis of Brain with ICA
23. Reliability analysis of individual visual P1 and N1 maps indicates the heterogeneous topographies involved in early visual processing among human subjects
24. LDA via L1-PCA of Whitened Data
25. Unsupervised Common Spatial Patterns
26. L1-norm based PCA for unsupervised classification
27. Independent Component Analysis: A Low-Complexity Technique
28. Fast Independent Component Analysis Using a New Property
29. Maximization of statistical moments for blind separation of sources revisited
30. Individual test-retest reliability of evoked and induced alpha activity in human EEG data
31. Prediction of Satellite Shadowing in Smart Cities with Application to IoT
32. On the Connection Between the Human Visual System and Independent Component Analysis
33. Connections Between ICA and Sparse Coding Revisited
34. New Eigensystem-Based Method for Blind Source Separation
35. Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals
36. Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach
37. EEG signal processing in mi-bci applications with improved covariance matrix estimators
38. Unsupervised Common Spatial Patterns
39. Application of Independent Component Analysis to Edge Detection and Watermarking
40. Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton’s Method
41. Eigendecomposition of self-tuned cumulant-matrices for blind source separation
42. Information Theory Applications in Signal Processing
43. New equations and iterative algorithm for blind separation of sources
44. Passive RFID-Based Inventory of Traffic Signs on Roads and Urban Environments
45. Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
46. Procedimiento simple de separación de fuentes
47. ICA-Based Fetal Monitoring
48. Ecuaciones lineales para el problema de la separación ciega de fuentes
49. Effective blind separation of skewed sources
50. On the Connection Between the Human Visual System and Independent Component Analysis.
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