( en | de | ru )

 

Disambiguation of "de Lazcano-Lobato, Juan Miguel Ortiz"

Author of the publication

copydeleteadd this publication to your clipboard
Self-organization of Probabilistic PCA Models.

, , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 211-218. Springer, (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Juan Miguel Reyes-Amézcua

Juan Miguel Vivar Perez

Juan Miguel Rodríguez López

Juan Miguel Rodríguez López

Juan Miguel Espinosa Carlín

 

Other publications of authors with the same name

Nonparametric Location Estimation for Probability Density Function Learning., , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 106-113. Springer, (2009)Self-organization of Probabilistic PCA Models., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 211-218. Springer, (2007)A Novel Continual Learning Approach for Competitive Neural Networks., , , , and . IWINAC (1), volume 13259 of Lecture Notes in Computer Science, page 223-232. Springer, (2022)Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations., , , and . ICIP, page 1376-1380. IEEE, (2022)Probabilistic PCA Self-Organizing Maps., , and . IEEE Trans. Neural Networks, 20 (9): 1474-1489 (2009)Enhanced maxcut clustering with multivalued neural networks and functional annealing., , and . ESANN, page 25-30. (2006)Enhanced Perspective Generation by Consensus of NeX neural models., , , , and . IJCNN, page 1-8. IEEE, (2022)A Study into the Improvement of Binary Hopfield Networks for Map Coloring., , , and . ICANNGA (2), volume 4432 of Lecture Notes in Computer Science, page 98-106. Springer, (2007)Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization., , , and . ICANNGA (1), volume 4431 of Lecture Notes in Computer Science, page 461-469. Springer, (2007)Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models., , , , and . ICIP, page 3199-3203. IEEE, (2020)