ANTONIO PEÑALVER BENAVENT-rekin lankidetzan egindako argitalpenak (10)

2012

  1. Entropy-based incremental variational bayes learning of gaussian mixtures

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, Núm. 3, pp. 534-540

2010

  1. Entropy-based variational scheme for fast bayes learning of gaussian mixtures

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009

  1. Learning Gaussian mixture models with entropy-based criteria

    IEEE Transactions on Neural Networks, Vol. 20, Núm. 11, pp. 1756-1771

2007

  1. Clustering EBEM: modelos de mezclas gausianas basados en maximización de entropía

    Clustering EBEM: modelos de mezclas gausianas basados en maximización de entropía

2006

  1. Color image segmentation through unsupervised Gaussian mixture models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. EBEM: An entropy-based em algorithm for Gaussian mixture models

    Proceedings - International Conference on Pattern Recognition

  3. Two entropy-based methods for learning unsupervised Gaussian mixture models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2005

  1. First steps towards stereo-based 6DOF SLAM for the visually impaired

    IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

2003

  1. An entropy maximization approach to optimal model selection in gaussian mixtures

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2905, pp. 432-439

  2. Compact mapping in plane-parallel environments using stereo vision

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2905, pp. 659-666