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Roldano Cattoni

  • SKYPE: roldanoFBK
  • Phone: +39 0461314547
  • FBK Povo
Short bio

Born in 1964 in Trento (Italy). In 1989 received degree in computer science with honours. Universita' di Milano (thesis on Knowledge Representation). In 1990 joined the Computer Vision Group at ITC-IRST working for 5 years on planning and control of mobile robots. Since 1997 interested in probabilistic reasoning, in particular Bayesian Belief Networks, applied for visual based monitoring and user profiling. In late 1998 joined the Software Engineering Group at IRST, working in the field of Software Agents and Distributed Computing. In early 2000 joined the Speech Recognition Group, doing research on multi-language translation. After working on Interlingua-based Machine Translation, in 2003 moved to Statistical Machine Translation. In 2007, when ITC-irst changed into FBK , joined the Human Language Technology research unit.

Present Projects: Modern Machine Translation

Past Projects: NewsReader, TOSCA-MP, LiveMemories, JUMAS, Nespole!, SI-TAL, PF-STAR, FAME, TC-STAR, FACTS, FIRST

Research interests
Machine Translation (compound word splitting; large data). Software Architectures (interprocess communication; distributed scalable computing and storing; web services).
  1. G. Andolfi; Marco Aste; Massimo Boninsegna; Roldano Cattoni; Alessandra Potrich; Bruno Caprile,
    The Advanced Visual Monitoring Project at IRST,
    Regazzoni C.S., Fabri G., Vernazza G. (eds.), Advanced Video-Based Surveillance Systems, The Kluwer International Series in Engineering and Computer Science,
    , pp. 130-
  2. Roldano Cattoni; Alessandra Potrich; P. Charlton; E. Mamdani,
    Evaluating the FIPA Standards on the field: an Audio Video Entertainment Application,
    First Asia-Pacific Conference on Intelligent Agent Technology,
    World Scientific Publishing,
    , (First Asia-Pacific Conference on Intelligent Agent Technology,
    Hong Kong,
    14/12/1999 - 17/12/1999)
  3. Roldano Cattoni; Alessandra Potrich,
    From Standard Specifications to a Multi-agent Software System: Audio Video Entertainment Application in Practice,
    The paper focuses on two particular aspects of using a set of current standards for building a Multi-agent system: analysis and evaluation of certain aspects of the current specification standards provided by FIPA (Foundation of Intelligent Physical Agents) when implementing Multi-agent systems and bridging the gap between the specification and getting a multi-agent system to work. The work reported here is based on one of the developments of a Multi-agent architecture to test certain features of a standards specification. This testing has resulted in determining certain limitations and advantages of using the FIPA standards. The application used for deployment is an audio video entertainment broadcasting (AVEB) system. The development and testing are part of an EU project called - FACTS (acts AC317),
  4. G. Andolfi; Bruno Caprile; Roldano Cattoni; O. Salvetti,
    Models for BBM-Based Inference of Visual Properties,
    In this paper, Bayesian Belief Networks (BBNs) technology is investigated in the light of a classical Computer Vision problem: that of inducing 3D world configurations from knowledge acquired by a multiple camera set. While the task can have, as indeed has, an evident practical interest, this paper does not aim at proposing BBN-based solutions to it. Rather, by illustrating how the problem could be formulated in the BBNs framework, we aim at highlighting potentialities and limitations of the approach. Three basic features will be empirically addressed in particular. flexibility, in the two-fold meaning of adaptability to different kinds of queries and capacity of incorporating available a-priori knowledge; accuracy, that is reliability of outcomes in presence of incomplete or noisy data; computational needs, that is CPU/memory demands and scalability issues,
  5. Massimo Rossi; Marco Aste; Roldano Cattoni; Bruno Caprile,
    Visual Routines for Real-Time Monitoring of Vehicle Behavior,
    vol. 11,
    n. 1,
    , pp. 16 -
  6. Roldano Cattoni; Tarcisio Coianiz; Stefano Messelodi; Carla Maria Modena,
    Document Image Understanding (DIU) is an interesting research area with a large variety of challenging applications. Researchers have worked from decades on this topic, as witnessed by the scientific literature. The main purpose of the present report is to describe the current status of DIU with particular attention to two subprocesses: document skew angle estimation and page decomposition. Several algorithms proposed in the literature are synthetically described. They are included in a novel classification scheme. Some methods proposed for the evaluation of page decomposition algorithms are described. Critical discussions are reported about the current status of the field and about the open problems. Some considerations about the logical layout analysis are also reported.,
  7. Roldano Cattoni; Alessandra Potrich,
    Bayesian Belief Networks: Introduction and Learning,
    Bayesian Belief Networks are graph-based representations of probability distributions. In the last decade they became popular for modeling and using uncertain knowledge in many and different contexts. In this paper an introduction to the framework and a review of the main issues related to learning Bayesian Belif Networks are presented. The first part focuses on the definition of the framework: the mathematical and representational properties are described and discussed as well as Belief Networks from data, a topic which received much attention recently. A large amount of works, approaches and methodologies proposed in the literature is surveyed,
  8. Roldano Cattoni; T. Coianiz; F. Fignoni; Stefano Messelodi; Carla Maria Modena,
    Progetto CODICE: specifiche funzionali del sistema,
    Il presente documento descrive le specifiche funzionali del sistema di analisi e interpretazione di documenti complessi che verrà sviluppato all'Irst nell'ambito del progetto CODICE. Caratteristiche generali del sistema saranno la flessibilità e la adattabilità da un lato agli specifici ambiti applicativi e dall'altro ale diverse classi di documenti. L'obiettivo primario del progetto CODICE è quello di progettare e sviluppare moduli per l'analisi di documenti in grado di fornire nuove fnzionalità o di migliorare le caratteristiche delle funzionalità offerte dai sistemi esistenti,
  9. Marco Aste; Roldano Cattoni; Bruno Caprile,
    VGS - Visual Gate Simulator Simulatore degli eventi di occlusione di fotocellule in varchi controllati Manuale d'uso Versione: 1.0,
  10. Edmondo Trentin; Roldano Cattoni,
    An Hybrid HMM/Recurrent Neural Networks Approach to Indoor Robot Navigation,
    Proceedings of the 1997 Real Word Computing Symposium [RWC'97],
    , pp. 282-