0000000001133530

AUTHOR

Hiliwi Leake Kidane

showing 5 related works from this author

Implémentation en temps réel d'une architecture embarquée pour le comptage de passagers dans le transport public

2018

[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]
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Comparative survey of visual object classifiers

2018

Classification of Visual Object Classes represents one of the most elaborated areas of interest in Computer Vision. It is always challenging to get one specific detector, descriptor or classifier that provides the expected object classification result. Consequently, it critical to compare the different detection, descriptor and classifier methods available and chose a single or combination of two or three to get an optimal result. In this paper, we have presented a comparative survey of different feature descriptors and classifiers. From feature descriptors, SIFT (Sparse & Dense) and HeuSIFT combination colour descriptors; From classification techniques, Support Vector Classifier, K-Nea…

FOS: Computer and information sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_PATTERNRECOGNITIONComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)FOS: Electrical engineering electronic engineering information engineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer Science - Computer Vision and Pattern Recognition[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Electrical Engineering and Systems Science - Image and Video Processing
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Multi-modal image fusion for small animal studies in in-line PET /3T MRI

2015

Congrès sous l’égide de la Société Française de Génie Biologique et Médical (SFGBM).; National audience; In the framework of small animal multi-modal imaging, the current progression of the IMAPPI project is illustrated by the design of an in-line PET/MRI prototype, coupled to a dedicated multi-resolution registration method allowing the robust fusion of data coming from both modalities. The first results show a good alignment of the data from tumor imaging at the level of the abdomen.

[SDV] Life Sciences [q-bio][SDV.IB] Life Sciences [q-bio]/BioengineeringNuclear ImagingImage Processing[SDV]Life Sciences [q-bio]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[SDV.IB]Life Sciences [q-bio]/Bioengineering[ SDV.IB ] Life Sciences [q-bio]/BioengineeringMagnetic Resonance Imaging
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Run-time scalable NoC for FPGA based virtualized IPs

2017

The integration of virtualized FPGA-based hardware accelerators in a cloud computing is progressing from time to time. As the FPGA has limited resources, the dynamic partial reconfiguration capability of the FPGA is considered to share resources among different virtualized IPs during runtime. On the other hand, the NoC is a promising solution for communication among virtualized FPGA-based IPs. However, not all the virtualized regions of the FPGA will be active all the time. When there is no demand for virtualized IPs, the virtualized regions are loaded with blank bitstreams to save power. However, keeping active the idle components of the NoC connecting with the idle virtualized regions is …

010302 applied physics[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computer sciencebusiness.industry[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Control reconfigurationCloud computing02 engineering and technology01 natural sciences020202 computer hardware & architecturePower (physics)Idle[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]On demandEmbedded system0103 physical sciencesScalabilityHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringRouting (electronic design automation)Field-programmable gate arraybusinessComputingMilieux_MISCELLANEOUS
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Run-time Reconfigurable Network-on-chip: a survey

2018

International audience

[ INFO ] Computer Science [cs][INFO]Computer Science [cs][INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS
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