An efficient algorithm for calculating the exact Hausdorff distance
The Hausdorff distance (HD) between two point sets is a commonly used dissimilarity
measure for comparing point sets and image segmentations. Especially when very large …
measure for comparing point sets and image segmentations. Especially when very large …
Aircraft trajectory prediction made easy with predictive analytics
At the heart of Air Traffic Management (ATM) lies the Decision Support Systems (DST) that
rely upon accurate trajectory prediction to determine how the airspace will look like in the …
rely upon accurate trajectory prediction to determine how the airspace will look like in the …
Demystifying data-driven and pausible clocking schemes
VLSI systems are often constructed from a multitude of independently clocked synchronous
IP blocks. Unfortunately, while a synchronous design style may produce efficient block level …
IP blocks. Unfortunately, while a synchronous design style may produce efficient block level …
Fast large-scale trajectory clustering
In this paper, we study the problem of large-scale trajectory data clustering, k-paths, which
aims to efficiently identify k" representative" paths in a road network. Unlike traditional …
aims to efficiently identify k" representative" paths in a road network. Unlike traditional …
Habit2vec: Trajectory semantic embedding for living pattern recognition in population
Recognizing representative living patterns in population is extremely valuable for urban
planning and decision making. Thanks to the growing popularity of location-based …
planning and decision making. Thanks to the growing popularity of location-based …
Trajmesa: A distributed nosql storage engine for big trajectory data
Trajectory data is very useful for many urban applications. However, due to its spatio-
temporal and high-volume properties, it is challenging to manage trajectory data. Existing …
temporal and high-volume properties, it is challenging to manage trajectory data. Existing …
LGAN: Lung segmentation in CT scans using generative adversarial network
Abstract Lung segmentation in Computerized Tomography (CT) images plays an important
role in various lung disease diagnosis. Most of the current lung segmentation approaches …
role in various lung disease diagnosis. Most of the current lung segmentation approaches …
Torch: A search engine for trajectory data
This paper presents a new trajectory search engine called Torch for querying road network
trajectory data. Torch is able to efficiently process two types of typical queries (similarity …
trajectory data. Torch is able to efficiently process two types of typical queries (similarity …
Trajmesa: A distributed nosql-based trajectory data management system
With the development of positioning technology, a large number of trajectories have been
generated, which are very useful for many urban applications. However, it is challenging to …
generated, which are very useful for many urban applications. However, it is challenging to …
[图书][B] Real-world applications of genetic algorithms
O Roeva - 2012 - books.google.com
The book addresses some of the most recent issues, with the theoretical and methodological
aspects, of evolutionary multi-objective optimization problems and the various design …
aspects, of evolutionary multi-objective optimization problems and the various design …