Sökning: "sorting algorithms"
Visar resultat 16 - 20 av 23 avhandlingar innehållade orden sorting algorithms.
16. Object Detection and Recognition in Unstructured Outdoor Environments
Sammanfattning : Computer vision and machine learning based systems are often developed to replace humans in harsh, dangerous, or tedious situations, as well as to reduce the required time to accomplish a task. Another goal is to increase performance by introducing automation to tasks such as inspections in manufacturing applications, sorting timber during harvesting, surveillance, fruit grading, yield prediction, and harvesting operations. LÄS MER
17. Vehicle Size and Orientation Estimation Using Geometric Fitting
Sammanfattning : Over the years imaging laser radar systems have been developed for both military and civilian applications. Among the applications we note collection of 3D data for terrain modelling and object recognition. One part of the object recognition process is to estimate the size and orientation of the object. LÄS MER
18. Studies in Applied Data Structures
Sammanfattning : The design of efficient data structures is of primary importance in creation of theoretical algorithms as well their more tangible descendants, computer programs. In this dissertation we study computational aspects of data structures and their respective algorithms from a theoretical viewpoint, which are however of direct importance in the implementation of solutions for real-world problems. LÄS MER
19. Signal Modeling and Data Reduction for Wireless Brain-Machine Interfaces
Sammanfattning : Brain-machine interfaces (BMIs) provide a uni- or bidirectional communication link between the central nervous system and the outside world. This link facilitates the studying of neuronal mechanisms underlying behavior as well as the treatment of neurological disease. LÄS MER
20. Hyperspectral imaging for in-situ applications : Methods to improve the classification of materials using hyperspectral imaging
Sammanfattning : This thesis addresses several research questions related to in-situ hyperspectral imaging systems, proposes measurement methods for more accurate imaging, and examines the impact of the methods on material classification.First, the thesis investigates the possibility of successfully calibrating a hyperspectral imaging system using a low-cost PTFE reference. LÄS MER