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Visar resultat 1 - 5 av 37 avhandlingar som matchar ovanstående sökkriterier.
1. Approximation Algorithms for Geometric Networks
Sammanfattning : The main contribution of this thesis is approximation algorithms for several computational geometry problems. The underlying structure for most of the problems studied is a geometric network. LÄS MER
2. Spatial analysis and modeling of urban transportation networks
Sammanfattning : Transport systems in general, and urban transportation systems in particular, are the backbone of a country or a city, therefore play an intrinsic role in the socio-economic development. There have been numerous studies on real transportation systems from multiple fileds, including geography, urban planning, and engineering. LÄS MER
3. Polynomial Solvers for Geometric Problems - Applications in Computer Vision and Sensor Networks
Sammanfattning : Given images of a scene taken by a moving camera or recordings of a moving smart phone playing a song by a microphone array, how hard is it to reconstruct the scene structure or the moving trajectory of the phone? In this thesis, we study and solve several fundamental geometric problems in order to provide solutions to these problems. The key underlying technique for solving such geometric problems is solving systems of polynomial equations. LÄS MER
4. Geometric Decompositions and Networks - Approximation Bounds and Algorithms
Sammanfattning : In this thesis we focus on four problems in computational geometry: In the first four chapters we consider the problem of covering an arbitrary polygon with simpler polygons, i.e., rectangles. LÄS MER
5. Mathematical Foundations of Equivariant Neural Networks
Sammanfattning : Deep learning has revolutionized industry and academic research. Over the past decade, neural networks have been used to solve a multitude of previously unsolved problems and to significantly improve the state of the art on other tasks. However, training a neural network typically requires large amounts of data and computational resources. LÄS MER