Recent Submissions

  • Supervised assessment of segmentation hierarchies 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (Springer, 2012)
    Conference lecture
    Restricted access - publisher's policy
    This paper addresses the problem of the supervised assessment of hierarchical region-based image representations. Given the large amount of partitions represented in such structures, the supervised assessment approaches ...
  • Multiclass cancer-microarray classification algorithm with Pair-Against-All redundancy 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2012)
    Conference report
    Restricted access - publisher's policy
    Multiclass cancer classification is still a challenging task in the field of machine learning. A novel multiclass approach is proposed in this work as a combination of multiple binary classifiers. It is an example of Error ...
  • Feature set enhancement via hierarchical clustering for microarray classification 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2011)
    Conference report
    Restricted access - publisher's policy
    A new method for gene expression classification is proposed in this paper. In a first step, the original feature set is enriched by including new features, called metagenes, produced via hierarchical clustering. In a ...
  • Monocular depth ordering using T-Junctions and convexity occlusion cues 

    Palou Visa, Guillem; Salembier Clairon, Philippe Jean (2013)
    Article
    Restricted access - publisher's policy
    This paper proposes a system that relates objects in an image using occlusion cues and arranges them according to depth. The system does not rely on a priori knowledge of the scene structure and focuses on detecting ...
  • Hierarchical clustering combining numerical and biological similarities for gene expression data classification 

    Bosio, Mattia; Salembier Clairon, Philippe Jean; Bellot Pujalte, Pau; Oliveras Vergés, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    Conference report
    Restricted access - publisher's policy
    High throughput data analysis is a challenging problem due to the vast amount of available data. A major concern is to develop algorithms that provide accurate numerical predictions and biologically relevant results. A ...
  • Filtrado transversal adaptativo de varianza constante para la ecualización de canal 

    Vázquez Grau, Gregorio; Gasull Llampallas, Antoni; Sánchez Umbría, Juan; Oliveras Vergés, Albert (1989)
    Conference report
    Open Access
    This paper describes the problem of lineal filtering of noisy data under a Maximum Likelihood objective. In this sense, the paper shows that a weighted square error cost function deals and it is necessary to weight the ...
  • Procesado digital de imágenes para la detección y seguimiento de células 

    Sayrol Clols, Elisa; Gasull Llampallas, Antoni (1989)
    Conference report
    Open Access
    A new computerized methodology is described in which detection and tracking of human spermatozoa in semen are analized using a personal computer. Several aproaches are studied in order to quantify the number of spermatozoa ...
  • Measuring true spectral density from ML filters (NMLM and q-NMLM spectral estimates) 

    Lagunas Hernandez, Miguel A.; Gasull Llampallas, Antoni (Institute of Electrical and Electronics Engineers (IEEE), 1984)
    Conference report
    Open Access
    Starting from the classical procedure reported by Capon for power level estimation from ML filters, the authors present how this method can be modifyed in order to obtain a power spectral density estimate. The basic idea ...
  • Cross spectrum ML estimate 

    Lagunas Hernandez, Miguel A.; Santamaría Pérez, María Eugenia; Gasull Llampallas, Antoni; Moreno Bilbao, M. Asunción (Institute of Electrical and Electronics Engineers (IEEE), 1985)
    Conference report
    Open Access
    This work reports how to include general concepts of the one-dimensional MLM procedure in a two-channel problem of cross-spectrum estimation. It is shown in the sequel that there is no any problem in extrapolating the ...
  • Método MLNq para arrays de alta resolución 

    Gasull Llampallas, Antoni; Lagunas Hernandez, Miguel A.; Fernández Rubio, Juan Antonio; Moreno Bilbao, M. Asunción (Universidad de Sevilla, 1984)
    Conference report
    Open Access
    Spectral analysis techniques are used to bearing estimation problem. Each one of this gives a different array beamforming. We show here a generalized normalized Maximum Likehood Method which present a high resolution ...

View more