Now showing items 1-20 of 29

  • Analysis of stereo images using connected operators 

    Oliveras Vergés, Albert; Garrido Ostermann, Luis; Salembier Clairon, Philippe Jean (IEEE COMPUTER SOCIETY, 1997)
    Conference report
    Open Access
    Connected operators are increasingly used in image processing due to their properties of simplifying the image with various criteria, without loosing contour's information. These properties are related to the connected ...
  • Antiextensive connected operators for image and sequence processing 

    Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert; Garrido Ostermann, Luis (1998-04)
    Article
    Open Access
    This paper deals with a class of morphological operators called connected operators. These operators filter the signal by merging its flat zones. As a result, they do not create any new contours and are very attractive for ...
  • Anti-extensive connected operators with application to image sequences 

    Garrido Ostermann, Luis; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (1997)
    Conference lecture
    Open Access
    Connected operators are increasingly used in image processing They are at tractive in applications where the signal has to be simplified without loosing information about the contours A large number of simplification ...
  • Designing CDIO capstone projects: a systems thinking approach 

    Alarcón Cot, Eduardo José; Bou Balust, Elisenda; Camps Carmona, Adriano José; Bragós Bardia, Ramon; Oliveras Vergés, Albert; Pegueroles Vallés, Josep R.; Sayrol Clols, Elisa; Marqués Acosta, Fernando (2013)
    Conference report
    Open Access
    Given the all-pervasiveness of Systems thinking -which consists of thinking about things as systemsas a way of reasoning, in this work we will describe its application to make an interpretation of how to conceive and ...
  • Differential expression of long non-coding RNAs are related to proliferation and histological diversity in follicular lymphomas 

    Roisman, Alejandro; Castellano, Giancarlo; Navarro López, Alba; Bellot, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2018-01-01)
    Article
    Restricted access - publisher's policy
    Long non-coding RNAs (lncRNAs) comprise a family of non-coding transcripts that are emerging as relevant gene expression regulators of different processes, including tumour development. To determine the possible contribution ...
  • Ensemble learning and hierarchical data representation for microarray classification 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    Conference report
    Restricted access - publisher's policy
    The microarray data classification is an open and active research field. The development of more accurate algorithms is of great interest and many of the developed techniques can be straightforwardly applied in analyzing ...
  • Examen Final 

    Hernando, J.; Mariño Acebal, José Bernardo; Oliveras Vergés, Albert; Villares Piera, Nemesio Javier (Universitat Politècnica de Catalunya, 2015-06-16)
    Exam
    Restricted access to the UPC academic community
  • Examen Final 

    Oliveras Vergés, Albert; Hernando Pericás, Francisco Javier (Universitat Politècnica de Catalunya, 2013-01-17)
    Exam
    Restricted access to the UPC academic community
  • Examen Final 

    Monte Moreno, Enrique; Oliveras Vergés, Albert; Ruiz Hidalgo, Javier (Universitat Politècnica de Catalunya, 2013-01-22)
    Exam
    Restricted access to the UPC academic community
  • Examen Final 

    Oliveras Vergés, Albert; Mariño Acebal, José Bernardo; Hernando Pericás, Francisco Javier; Villares Piera, Nemesio Javier (Universitat Politècnica de Catalunya, 2014-06-10)
    Exam
    Restricted access to the UPC academic community
  • 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 ...
  • 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 ...
  • Gene expression data classification combining hierarchical representation and efficient feature selection 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2012-12)
    Article
    Restricted access - publisher's policy
    A general framework for microarray data classification is proposed in this paper. It pro- duces precise and reliable classifiers through a two-step approach. At first, the original feature set is enhanced by a new set ...
  • Generalized connected operators 

    Oliveras Vergés, Albert; Salembier Clairon, Philippe Jean (SMITH ANSARI, 1996)
    Conference report
    Open Access
    This paper deals with the notion of connected operators These operators are becoming popular in image processing because they have the fundamental property of simplifying the signal while preserving the contour information ...
  • 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 ...
  • Implementación y primeros resultados de la asignatura de introducción a la ingeniería en los nuevos grados de la ETSETB-UPC 

    Sayrol Clols, Elisa; Onrubia, Raúl; García Hernández, Miguel J.; Oliveras Vergés, Albert; Bragós Bardia, Ramon; Pegueroles Vallés, Josep R.; Alarcón Cot, Eduardo José; Camps Carmona, Adriano José; Sardà Ferrer, Joan; Consolación Segura, Carolina María; Mussons Sellés, Jaume; Pons Peregort, Olga (IEEE, 2011)
    Conference report
    Restricted access - publisher's policy
    En este trabajo se describe la asignatura "Introducción a la Ingeniería de las TIC" que, basándose en restricciones y especificaciones iniciales, ha sido concebida, diseñada e implementada en la ETSETB de la UPC. Es la ...
  • Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees 

    Sayrol Clols, Elisa; Onrubia, Raúl; García, Miguel; Oliveras Vergés, Albert; Bragós Bardia, Ramon; Pergueroles, Josep; Alarcón Cot, Eduardo José; Camps Carmona, Adriano José; Sardà Ferrer, Joan; Consolación Segura, Carolina María; Mussons Sellés, Jaume; Pons Peregort, Olga (2011)
    Conference report
    Restricted access - publisher's policy
    This paper describes the new course "Introduction to ICT Engineering" which has been conceived, designed and implemented at Telecom-BCN (ETSETB-UPC) from initial specifications and restrictions. It is the first of a series ...
  • Maximum likelihood factor analysis in malaria cytokines analysis and modelling 

    Oliveras Vergés, Albert (IEEE Press. Institute of Electrical and Electronics Engineers, 2009-05-17)
    Conference lecture
    Open Access
    A maximum likelihood factor analysis (MLFA) of the dynamics of the human immune system in malaria, based on the observation of a few cytokine in plasma, suggests that an increased overproduction of cytokines: IL-12, IL-6, ...
  • Microarray classification with hierarchical data representation and novel feature selection criteria 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Conference report
    Restricted access - publisher's policy
    Microarray data classification is a challenging prob- lem due to the high number of variables compared to the small number of available samples. An effective methodology to output a precise and reliable classifier is ...
  • Morphological tools for segmentation: connected operators and watersheds 

    Meyer, F; Oliveras Vergés, Albert; Salembier Clairon, Philippe Jean; Vachier, C (1997-08)
    Article
    Restricted access - publisher's policy
    The paper makes a survey of the morphological tools which are useful for image simplification and segmentation. It starts presenting the connected filters, which have the unique feature to simplify the images without ...