Publikationen, an denen er mitarbeitet Miguel Ángel Patricio Guisado (13)

2014

  1. Human action recognition with sparse classification and multiple-view learning

    Expert Systems

2013

  1. A data fusion perspective on human motion analysis including multiple camera applications

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

  2. Model and feature selection in hidden conditional random fields with group regularization

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

2012

  1. A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views

    Neurocomputing, Vol. 75, Núm. 1, pp. 78-87

2011

  1. Evaluating manifold learning methods and discriminative sequence classifiers in view-invariant action recognition

    Advances in Intelligent and Soft Computing

  2. Improving the accuracy of action classification using view-dependent context information

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

  3. Multicamera action recognition with canonical correlation analysis and discriminative sequence classification

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

2010

  1. Fusion of single view soft k-NN classifiers for multicamera human action recognition

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

2009

  1. Creating Human Activity Recognizers using Pareto-based Multiobjective Optimization

    6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009

  2. Non-supervised discovering of user activities in visual sensor networks for ambient intelligence applications

    2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2009

  3. On the process of designing an activity recognition system using symbolic and subsymbolic techniques

    Advances in Soft Computing

  4. PhD forum: Non supervised learning of Human Activities in Visual Sensor Networks

    2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009

  5. Recognizing human activities from sensors using hidden markov models constructed by feature selection techniques

    Algorithms, Vol. 2, Núm. 1, pp. 282-300