Hierarchical coding of digital images for progressive transmission

Yalazan, Hakkı Tarkan


Hierarchical human activity recognition with fusion of audio and multiple inertial sensor modalities
Yılmaz, Tuğçe Alara; Yazıcı, Adnan; Department of Computer Engineering (2022-2-08)
People perform a wide variety of activities every day. Systems that can automatically distinguish these activities, i.e. human activity recognition models, have improved markedly, especially in the last decade. Deep learning is demonstrating increasingly promising outcomes in overcoming the problem of human activity detection as technology improves at a rapid pace. However, validating activity recognition in real-world situations is critical for practical solutions that work in natural contexts. Establishin...
Hierarchical Parallelization of the Multilevel Fast Multipole Algorithm for the Efficient Solution of Large-Scale Scattering Problems
Ergül, Özgür Salih (2008-07-11)
Hierarchical parallelisation strategy for multilevel fast multipole algorithm in computational electromagnetics
Ergül, Özgür Salih (Institution of Engineering and Technology (IET), 2008-01-03)
A hierarchical parallelisation of the multilevel fast multipole algorithm (MLFMA) for the efficient solution of large-scale problems in computational electromagnetics is presented. The tree structure of MLFMA is distributed among the processors by partitioning both the clusters and the samples of the fields appropriately for each level. The parallelisation efficiency is significantly improved compared to previous approaches, where only the clusters or only the fields are partitioned in a level.
Hierarchical Parallelization of the Multilevel Fast Multipole Algorithm (MLFMA)
Gurel, Levent; Ergül, Özgür Salih (2013-02-01)
Due to its O(NlogN) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most prized algorithms of computational electromagnetics and certain other disciplines. Various implementations of this algorithm have been used for rigorous solutions of large-scale scattering, radiation, and miscellaneous other electromagnetics problems involving 3-D objects with arbitrary geometries. Parallelization of MLFMA is crucial for solving real-life problems discretized with hundreds of millions of unkno...
Hierarchical classification of Sentinel 2-a images for land use and land cover mapping and its use for the CORINE system
Demirkan, Doga C.; Koz, Alper; Duzguna, H. Sebnem (SPIE-Intl Soc Optical Eng, 2020-06-01)
The aim of this study is to investigate the potential of the Sentinel-2 satellite for land use and land cover (LULC) mapping. The commonly known supervised classification algorithms, support vector machines (SVMs), random forest (RF), and maximum likelihood (ML) classification are adopted for investigation along with a proposed hierarchical classification model based on a coordination of information on the environment land cover system. The main classes for land cover and mapping in the proposed hierarchica...
Citation Formats
H. T. Yalazan, “Hierarchical coding of digital images for progressive transmission,” Middle East Technical University, 1993.