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Juan Miguel Ortiz-de-Lazcano-Lobato
2010 – today
- 2013
[j8]Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo: A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. Neural Processing Letters 37(1): 47-67 (2013)- 2011
- [j7]David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead: Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study. Expert Syst. Appl. 38(3): 2330-2346 (2011)
- [j6]Ezequiel López-Rubio, Esteban José Palomo-Ferrer, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González: Dynamic topology learning with the probabilistic self-organizing graph. Neurocomputing 74(16): 2633-2648 (2011)
- [c27]Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo: Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. IWANN (2) 2011: 17-24
- 2010
- [c26]Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque: An anomaly detection system using a GHSOM-1. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j5]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato: Dynamic Competitive Probabilistic Principal Components Analysis. Int. J. Neural Syst. 19(2): 91-103 (2009)
- [j4]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato: Automatic Model Selection by Cross-Validation for Probabilistic PCA. Neural Processing Letters 30(2): 113-132 (2009)
- [j3]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez: Probabilistic PCA Self-Organizing Maps. IEEE Transactions on Neural Networks 20(9): 1474-1489 (2009)
- [c25]Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo: Object Tracking in Video Sequences by Unsupervised Learning. CAIP 2009: 1070-1077
- [c24]Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo: Growing Competitive Network for Tracking Objects in Video Sequences. ICANNGA 2009: 109-118
- [c23]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González: Nonparametric Location Estimation for Probability Density Function Learning. IWANN (1) 2009: 106-113
- [c22]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González: Probabilistic Self-Organizing Graphs. IWANN (1) 2009: 180-187
- [c21]Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque: Hierarchical Graphs for Data Clustering. IWANN (1) 2009: 432-439
- [p1]David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead: Analysis and Testing of the m-Class RDP Neural Network. Constructive Neural Networks 2009: 171-192
- [r1]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato: MREM, Discrete Recurrent Network for Optimization. Encyclopedia of Artificial Intelligence 2009: 1112-1120
- 2008
- [j2]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato: Soft clustering for nonparametric probability density function estimation. Pattern Recognition Letters 29(16): 2085-2091 (2008)
- [c20]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González: Robust Nonparametric Probability Density Estimation by Soft Clustering. ICANN (1) 2008: 155-164
- [c19]David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead: On the Generalization of the m-Class RDP Neural Network. ICANN (2) 2008: 734-743
- 2007
- [c18]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González: Soft Clustering for Nonparametric Probability Density Function Estimation. ICANN (1) 2007: 707-716
- [c17]David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead: A Novel and Efficient Method for Testing Non Linear Separability. ICANN (1) 2007: 737-746
- [c16]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galán Marín: K -Pages Graph Drawing with Multivalued Neural Networks. ICANN (2) 2007: 816-825
- [c15]Gloria Galán Marín, Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato: A Study into the Improvement of Binary Hopfield Networks for Map Coloring. ICANNGA (2) 2007: 98-106
- [c14]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato: Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization. ICANNGA (1) 2007: 461-469
- [c13]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato: Image Compression with Competitive Networks and Pre-fixed Prototypes. AIAI 2007: 339-346
- [c12]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González: Automatic Model Selection for Probabilistic PCA. IWANN 2007: 127-134
- [c11]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galán Marín: Two Pages Graph Layout Via Recurrent Multivalued Neural Networks. IWANN 2007: 194-202
- [c10]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González: Self-organization of Probabilistic PCA Models. IWANN 2007: 211-218
- [c9]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato: Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points. IWINAC (1) 2007: 292-302
- [c8]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato: Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks. KI 2007: 397-411
- 2006
- [c7]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González: Global-local learning strategies in probabilistic principal components analysis. Artificial Intelligence and Soft Computing 2006: 46-51
- [c6]Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato: Enhanced maxcut clustering with multivalued neural networks and functional annealing. ESANN 2006: 25-30
- [c5]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González: Local Selection of Model Parameters in Probability Density Function Estimation. ICANN (2) 2006: 292-301
- [c4]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio: Image Compression by Vector Quantization with Recurrent Discrete Networks. ICANN (2) 2006: 595-605
- 2005
- [c3]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio: Intrinsic Dimensionality Maps with the PCASOM. IWANN 2005: 750-757
- [c2]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato: Hopfield Network as Associative Memory with Multiple Reference Points. IEC (Prague) 2005: 62-67
- 2004
- [j1]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez, José Antonio Gómez-Ruiz: Principal Components Analysis Competitive Learning. Neural Computation 16(11): 2459-2481 (2004)
- [c1]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio: Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks. ECAI 2004: 618-622
Coauthor Index
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last updated on 2013-02-06 21:03 CET by the dblp team