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نمایش تعداد 1-6 از 6

Combinatorial JPT based on orthogonal beamforming for two-cell cooperation

نوع: Conference Paper

نویسنده : Hojae Lee; Beom Kwon; Seonghyun Kim; Inwoong Lee; Sanghoon Lee

ناشر: IEEE

سال: 2014

Risk Maps Generation for Road Accidents: The Application Architecture and Functionality

نوع: Conference Paper

نویسنده : Bravo C., German

ناشر: IEEE

سال: 2014

Balancing resource consumption and handover delay for multicast mobility

نوع: Conference Paper

نویسنده : Kim, Hee-jin; Han, Seung-Jae

ناشر: IEEE

سال: 2014

Sparse representation within disconnected spatial support for target detection in hyperspectral imagery

نوع: Conference Paper

نویسنده : Xiaohui Li; Chunhui Zhao; Yulei Wang

ناشر: IEEE

سال: 2014

Body part recognization base on hierarchy random forest with feature Pre-selection

نوع: Conference Paper

نویسنده : Tianchu Guo; Xiaoyu Wu; Lei Yang; Xiangsheng Huang; Mingyue Yu

ناشر: IEEE

سال: 2014

Fusion of hyperspectral and LiDAR data in classification of urban areas

نوع: Conference Paper

نویسنده : Ghamisi, P.; Benediktsson, J.A.; Phinn, S.

ناشر: IEEE

سال: 2014

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Combinatorial JPT based on orthogonal beamforming for two-cell cooperation

Risk Maps Generation for Road Accidents: The Application Architecture and Functionality

Balancing resource consumption and handover delay for multicast mobility

Sparse representation within disconnected spatial support for target detection in hyperspectral imagery

Body part recognization base on hierarchy random forest with feature Pre-selection

Fusion of hyperspectral and LiDAR data in classification of urban areas

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Combinatorial JPT based on orthogonal beamforming for two-cell cooperation

Risk Maps Generation for Road Accidents: The Application Architecture and Functionality

Balancing resource consumption and handover delay for multicast mobility

Sparse representation within disconnected spatial support for target detection in hyperspectral imagery

Body part recognization base on hierarchy random forest with feature Pre-selection

Fusion of hyperspectral and LiDAR data in classification of urban areas