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Publications

2011

Editorial [Editorial]

Authors
Reis, LP;

Publication
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

Abstract

2011

Metric Learning for Music Symbol Recognition

Authors
Rebelo, A; Tkaczuk, J; Sousa, RG; Cardoso, JS;

Publication
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop

Abstract
Although Optical Music Recognition (OMR) has been the focus of much research for decades, the processing of handwritten musical scores is not yet satisfactory. The efforts made to find robust symbol representations and learning methodologies have not found a similar quality in the learning of the dissimilarity concept. Simple Euclidean distances are often used to measure dissimilarity between different examples. However, such distances do not necessarily yield the best performance. In this paper, we propose to learn the best distance for the k-nearest neighbor (k-NN) classifier. The distance concept will be tuned both for the application domain and the adopted representation for the music symbols. The performance of the method is compared with the support vector machine (SVM) classifier using both real and synthetic music scores. The synthetic database includes four types of deformations inducing variability in the printed musical symbols which exist in handwritten music sheets. The work presented here can open new research paths towards a novel automatic musical symbols recognition module for handwritten scores. © 2011 IEEE.

2011

Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods - The CoReNet Approach

Authors
Azevedo, A; Bastos, J; Almeida, A; Soares, C; Magaletti, N; Del Grosso, E; Stellmach, D; Winkler, M; Fornasiero, R; Zangiacomi, A; Chiodi, A;

Publication
ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS

Abstract
The design, production and distribution of small series of health fashionable goods for specific target groups of wide impact in terms of market for the European industry as elderly, disables, diabetics and obese people represents a challenging opportunity for European companies which are asked to supply the demand with affordable price and eco-compatible products. Added to this challenge, textile, clothing and footwear manufactures seek for innovative collaborative networking solutions that could provide an entire digital life-cycle for the products and services required by the market. Aligned with this need, the EU CoReNet project aims to design and develop a new smart collaborative consumer-driven framework with the related services and components. This paper addresses the multidisciplinary complexity of customer-oriented and eco-friendly networks for health fashionable goods in particular addressing business requirements analysis, value chain issues, co-planning production and co-design topics in collaborative business processes tailored for high variability of the consumers demand and expectations.

2011

The face of immigration in the North of Portugal

Authors
Padrao, MH; Padrao, R; Oliveria, MJA; Marnoto, S; Guerra, I;

Publication
Regional and Sectoral Economic Studies

Abstract
This study seeks to understand the consequences of this phenomenon in the relocation of human resources from other countries to Portugal and to evaluate the impact of immigrants in northern Portugal, including help to clarify the mechanisms for determining the measures of economic policy (sectors most wanted, integration, interactions in organizations). With decolonization and later integration into the European Union, the social and cultural fabric has undergone profound changes. Portugal has become a host country.

2011

Foundations for a Mobile Context-Aware Advertising System

Authors
Alexandre, G; Adao, T; Goncalves, M; Magalhaes, L; Bessa, M; Peres, E; Varajao, J;

Publication
ENTERPRISE INFORMATION SYSTEMS, PT 2

Abstract
Advertisers struggle to reach effectively and efficiently to their customers, continuously seeking to influence them and simultaneously reduce the overall publicity costs. Business areas like the mobile devices industry, together with wireless technologies and interactive environments, bring an huge opportunity for marketing purposes. supporting the chance to turn advertising into a convenient and easily accessible source of information by letting marketers communicate with costumers in a more direct, personal and contextualized way. This paper presents some foundations for the development of a system that will allow context-aware personalized profile-based advertising delivery, by using Bluetooth technology to identify and communicate with customers in a given geographic area, through their mobile devices.

2011

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data

Authors
Mahadevan, Vijay; Wong, ChiWah; Pereira, JoseCosta; Liu, Tom; Vasconcelos, Nuno; Saul, LawrenceK.;

Publication
Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain.

Abstract

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