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Techniques for Spatio-temporal Analysis of Trajectory Data
(2016-09-09)
The goal of this thesis is to develop novel techniques for the analysis of spatio-temporal trajectory data. Recent advances in tracking devices such as Global Positioning System (GPS) and mobile phones have resulted in an ...
Hyper-optimized Machine Learning and Deep Learning Methods For Geo-spatial and Temporal Function Estimation
(2018-08-13)
Owing to a high degree of freedom in human mobility, accurate modelling/estimation of human mobility function remains a challenge. Numerous work in the literature have tried to address the challenge using various traditional ...
FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)
Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ...
Algorithms for Exploratory Queries over Web Database
(2019-02-06)
In recent years we have seen an increase in the popularity of many web applications. The functionality of these applications range from allowing users to interact using online social network, to assist users in their ...
Learning Health Information From Floor Sensor Data Within A Pervasive Smart Home Environment
(2020-09-02)
Spatial and temporal gait analysis can provide useful measures for determining a person’s state of health while also identifying deviations in day-to-day activity. The SmartCare project is a multi-discipline health ...
Branch-and-Bound for Model Selection and its Computational Complexity
(IEEE Xplore, 2010-09-02)
Branch-and-bound methods are used in various data analysis problems such as clustering, seriation
and feature selection. Classical approaches of branch-and-bound based clustering search through combinations
of various ...