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Università della Svizzera italiana

Adaptive routing in ad hoc wireless multi-hop networks

Ducatelle, Frederick ; Gambardella, Luca Maria (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2007 ; 2007INFO001.

Ad hoc wireless multi-hop networks (AHWMNs) are communication networks that consist entirely of wireless nodes, placed together in an ad hoc manner, i.e. with minimal prior planning. All nodes have routing capabilities, and forward data packets for other nodes in multi-hop fashion. Nodes can enter or leave the network at any time, and may be mobile, so that the network topology continuously...

Università della Svizzera italiana

Advances in deep learning for vision, with applications to industrial inspection : classification, segmentation and morphological extensions

Masci, Jonathan ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2014 ; 2014INFO001.

Learning features for object detection and recognition with deep learning has received increasing attention in the past several years and recently attained widespread popularity. In this PhD thesis we investigate its applications to the automatic surface inspection system of our industrial partner ArcelorMittal, for classification and segmentation problems. Currently employed algorithms, in...

Università della Svizzera italiana

Advances in humanoid control and perception

Stollenga, Marijn Frederik ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2016 ; 2016INFO004.

One day there will be humanoid robots among us doing our boring, time-consuming, or dangerous tasks. They might cook a delicious meal for us or do the groceries. For this to become reality, many advances need to be made to the artificial intelligence of humanoid robots. The ever-increasing available computational processing power opens new doors for such advances. In this thesis we develop...

Université de Fribourg

Algebras of gaussian linear information

Eichenberger, Christian ; Kohlas, Jürg (Dir.)

Thèse de doctorat : Université de Fribourg, 2009 ; Nr. 1640.

Gaussian linear information arises in many real-world models of the natural and social sciences. The Gaussian distribution has turned out to appropriately represent uncertainty in many linear models. The main goal of this thesis is to describe and to compare different algebras of Gaussian linear information: Corresponding elements and operations in the various algebras are revealed and the...

Università della Svizzera italiana

Algorithms and complexity results for discrete probabilistic reasoning tasks

Mauá, Denis Deratani ; Schmidhuber, Jürgen (Dir.) ; Zaffalon, Marco (Codir.) ; Polpo de Campos, Cassio (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2013 ; 2013INFO005.

Many solutions to problems in machine learning and artificial intelligence involve solving a combinatorial optimization problem over discrete variables whose functional dependence is conveniently represented by a graph. This thesis addresses three types of these combinatorial optimization problems, namely, the maximum a posteriori inference in discrete probabilistic graphical models, the...

Université de Neuchâtel

Algorithms for solving statistical model selection problems

Gatu, Cristian ; Erard, Pierre-Jean (Dir.) ; Kontoghiorghes, Erricos John (Codir.)

Thèse de doctorat : Université de Neuchâtel : 2004 ; 1744.

Statistical model selection problems arises in diverse areas. Some of the selection methods have exponential complexities and thus, are computationally demanding. The purpose of this thesis is to propose computationally efficient and numerical reliable algorithms used in statistical model selection. Particular emphasis is given to the computationally intensive model selection strategies which...

Université de Neuchâtel

Algorithms for statistical model selection and robust estimation

Hofmann, Marc ; Kropf, Peter (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2009 ; Th. 2103.

Computationally intensive algorithms for model selection and robust regression are considered. Particular emphasis is put on regression trees. The QR decomposition is the main computational tool to solve the linear models. Givens rotations are employed to compute the orthogonal factorizations. A new pipelineparallel strategy is proposed for computing the QR decomposition. Algorithms for computing...

Università della Svizzera italiana

Analysis and new constructions of generalized barycentric coordinates in 2D

Anisimov, Dmitry ; Hormann, Kai (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2017 ; 2017INFO004.

Different coordinate systems allow to uniquely determine the position of a geometric element in space. In this dissertation, we consider a coordinate system that lets us determine the position of a two-dimensional point in the plane with respect to an arbitrary simple polygon. Coordinates of this system are called generalized barycentric coordinates in 2D and are widely used in computer...

Università della Svizzera italiana

Analysis and optimization of task granularity on the Java virtual machine

Rosà, Andrea ; Binder, Walter (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO008.

Task granularity, i.e., the amount of work performed by parallel tasks, is a key performance attribute of parallel applications. On the one hand, fine-grained tasks (i.e., small tasks carrying out few computations) may introduce considerable parallelization overheads. On the other hand, coarse-grained tasks (i.e., large tasks performing substantial computations) may not fully utilize the...