 | 2009 |
|---|
| 27 |       | 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 |
| 26 | | 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 |
| 25 | | Ezequiel López-Rubio,
Juan Miguel Ortiz-de-Lazcano-Lobato,
María del Carmen Vargas-González:
Probabilistic Self-Organizing Graphs.
IWANN (1) 2009: 180-187 |
| 24 | | 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 |
| 23 | | Ezequiel López-Rubio,
Juan Miguel Ortiz-de-Lazcano-Lobato:
Dynamic Competitive Probabilistic Principal Components Analysis.
Int. J. Neural Syst. 19(2): 91-103 (2009) |
| 2008 |
|---|
| 22 | | 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 |
| 21 | | 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 |
| 20 | | 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) |
| 2007 |
|---|
| 19 | | 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 |
| 18 | | 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 |
| 17 | | 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 |
| 16 | | 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 |
| 15 | | 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 |
| 14 | | 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 |
| 13 | | 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 |
| 12 | | 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 |
| 11 | | 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 |
| 10 | | 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 |
| 9 | | 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 |
|---|
| 8 |  | 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 |
| 7 | | 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 |
| 6 | | 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 |
| 5 | | 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 |
|---|
| 4 | | 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 |
| 3 | | 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 |
| 2004 |
|---|
| 2 | | 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 |
| 1 | | 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) |
