Publicaties
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New relations between similarity measures for vectors based on vector norms Universiteit Hasselt Universiteit Antwerpen
The well-known similarity measures Jaccard, Salton’s cosine, Dice and several related overlap measures for vectors are compared. While general relations are not possible to prove, we study these measures on the “trajectories” of the form , where is a constant and denotes the Euclidean norm of a vector. In this case, direct functional relations between these measures are proved. For Jaccard we prove that it is a convexly increasing function of ...
Biting rhythm and resting behaviour of main and secondary malaria vectors in Southeast Asia and their relevance to vector control [in Vietnamese] Instituut voor Tropische Geneeskunde
On sets of vectors of a finite vector space in which every subset of basis size is a basis II Vrije Universiteit Brussel
This article contains a proof of the MDS conjecture for k ? 2p ? 2. That is, that if S is a set of vectors of Fkq in which every subset of S of size k is a basis, where q = p h , p is prime and q is not and k ? 2p ? 2, then |S| ? q + 1. It also contains a short proof of the same fact for k ? p, for all q.
On sets of vectors of a finite vector space in which every subset of basis size is a basis II Universiteit Gent
This article contains a proof of the MDS conjecture for k a parts per thousand currency sign 2p - 2. That is, that if S is a set of vectors of in which every subset of S of size k is a basis, where q = p (h) , p is prime and q is not and k a parts per thousand currency sign 2p - 2, then |S| a parts per thousand currency sign q + 1. It also contains a short proof of the same fact for k a parts per thousand currency sign p, for all q.
Multi-scale environmental analysis and prediction for insects vector of disease; application to malaria vectors of Southeast Asia Instituut voor Tropische Geneeskunde
Integrated inference and learning of neural factors in structural support vector machines Universiteit Gent
Height estimation from speech signals using i-vectors and least-squares support vector regression KU Leuven
© 2015 IEEE. This paper proposes a novel approach for automatic speaker height estimation based on the i-vector framework. In this method, each utterance is modeled by its corresponding i-vector. Then artificial neural networks (ANNs) and least-squares support vector regression (LSSVR) are employed to estimate the height of a speaker from a given utterance. The proposed method is trained and tested on the telephone speech signals of National ...