This thesis addresses the problem of the unsupervised extraction of line networks (roads,rivers, etc.) from remotely sensed images. We use object processes, or marked point processes,as prior models. These models benefit from a stochastic framework (robustness w.r.t. noise,algorithms, etc.) while incorporating strong geometric constraints. Optimization is done viasimulated annea...

Balanced Corpora for Textual Research F o r em p irica lly o rien ted tex tu a l re sea rch it is crucia l to h av e m a te ria ls av a ilab le fo r ex trac tio n o f s ta tis tic s , tra in ing p ro b ab ilis tic a lgo rithm s, an d te s tin g h y p o th eses a b o u t language an d language p ro cess in g in general. In rece n t years, the aw areness th a t te x t is n o t ju s t tex t, b u t...

Logical features are abstract representations of images at various levels of detail. Some logical features such as spaThe image retrieval based on spatial content is an attracting task in many image database applications. The 2D strings protial-location and spatial-relation [18] may be synthesized vide a natural way of constructing spatial indexing for images from primitive features, whereas ot...

Detecting foreground pixels is the rst step to detect objects of interestin videos. The objective of this thesis is to propose a new background estimationmethod to detect foreground pixels. The proposed method can adapt the estimatedbackground to various changes of environment (e.g. changes of illumination or ofcontextual objects).The proposed background estimation method co...

The motivation for the work reported in this thesis has been to lessen the gap between theory and practice within the eld of parallel computing When looking for new and faster parallel algorithms for use in massively parallel systems it is tempting to investigate promising alternatives from the large body of research done on parallel algorithms within the eld of theoretical computer science The...

The authors describe Bayesian estimation for the parameters of the bivariate gamma distribution due to Kibble (1941). The density of this distribution can be written as a mixture, which allows for a sim ple data augmentation scheme. The authors propose a Markov chain Monte Carlo algorithm to facilitate estimation. They show that the resulting chain is geometrically ergodic, and thus a regenerat...

BACKGROUND We investigated the impact and the predictive value of sinus rhythm at 12 months (SR12) on subscales of three different HrQoL questionnaires: SF-36., EuroQoL and MFI 20. METHODS Data of 125 cardiac surgery patients with pre-operative AF from our previous randomized trial were used. Based on their rhythm outcome patients were divided in two groups: SR12 or AF at 12 months follow up ...

Image segmentation is a basic early vision problem which serves as precursor to many high level vision problems. Color image segmentation provides more information while solving high level vision problems such as, object recognition, shape analysis etc. Therefore, the problem of color image segmentation has been addressed more vigorously for more than one decade. Different color models such as ...

The ideal class groups of hyperelliptic curves(HECs) can be used in cryptosystems based on the discrete loga-rithm problem. Recent developments of computational technolo-gies for scalar multiplications of divisor classes have shown thatthe performance of hyperelliptic curve cryptosystems (HECC) iscompatible to that of elliptic curve cryptosystems (ECC). Espe-cially, genu...

Impagliazzo andWigderson IW have recently shown that if there exists a decision problem solvable in time O n and having circuit complexity n for all but nitely many n then P BPP This result is a culmination of a series of works showing connections between the existence of hard predicates and the existence of good pseudorandom generators The construction of Impagliazzo andWigderson goes through ...