Geometric Algorithms for Objects in Motion
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Summary
This thesis presents a new framework for kinetic data that allows calculations on moving points via sensor-recorded observations and is one of the first within the computational geometry community to allow analysis of moving points without a priori knowledge of point motion.
- Type
- dissertation
- Published
- 2010-01-01
- Cited by
- 0
- References
- 111
- OpenAlex
- https://openalex.org/W131549961
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:21084133
Keywords
Outlier, Robustness (evolution), Algorithm, Computer science, Estimator
References
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- Data structures for mobile data
- PERFORMANCE COMPARISON OF LOOP/PIEZO AND ULTRASONIC SENSOR-BASED TRAFFIC DETECTION SYSTEMS FOR COLLECTING INDIVIDUAL VEHICLE INFORMATION
- Approximation algorithms for geometric problems
- Efficient collision detection for moving polyhedra
- Dynamic traffic simulation for controlling traffic flow
- Congested traffic states in empirical observations and microscopic simulations
- An analysis of the Burrows-Wheeler transform
- NeTra-V: toward an object-based video representation
- Clustering to Minimize the Maximum Intercluster Distance
- Squeezing succinct data structures into entropy bounds
- A data structure for dynamic trees
- An Algorithmic Approach to Network Location Problems. II: The p-Medians
- Proximity problems on moving points
- Fast and quality-guaranteed data streaming in resource-constrained sensor networks
- Approximation Algorithms for NP-Hard Problems
- The MERL motion detector dataset
- Fast construction of nets in low dimensional metrics, and their applications
- Multidimensional online tracking
- Models and issues in data stream systems
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