OFDM
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health care
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estimated position overlapping
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amplify and forward communication
power uncertainty
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cellular radio
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telecommunication traffic
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Femtocell
inter user interference
UFMC
mode selection
GFDM
QAM
Zigbee
frame structure
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non-orthogonal multiple access
QR Factorization
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LTE-based V2V
Number of training blocks
Communication range
user fairness
Mode 3
resource selection
distributed mode
maximum likelihood method
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cross-link interference
Dynamic TDD
Uplink SCMA system
V2X
DQN
estimated position updating
—Device-to-device (D2D)
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dynamic HetNet
indoor positioning
spectrum partitioning
- Computation offloading
multi-access edge computing
P-NOMA
partial overlap
Subband filtering
Multi-user Receiver
reinforcement learning
RSRP weighting
smart factory
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Deasik Hong and O. K. Ersoy, "Classification of very high Dimensional data using Neural Networks", IEEE IGARSS,May 1990
[Other Conf. Papers]
조회 73923
Status : | Presented |
---|---|
Date : | 1990-05 |
Title : | Classification of very high Dimensional data using Neural Networks |
Authors : | Deasik Hong and O. K. Ersoy |
Conference : | International Geoscience and Remote Sensing Symposium (IGARSS) |
Abstract : | Neural network models and statistical methods are applied in claasification of very high dimensional data. Both 2-layer and 3-layer iterative neural networks are used in experiments together with a parallel hierarchical neural network. The statistical methods applied include the maximum likelihood method, the minimum Euclidean distance and two "pooling" methods (statistical multisource classificatioin and the linear opinion pool). The data used in experiments are simulated HIRIS data. All the methods are compared based on classification performance with different numbers of features, different numbers of training samples, speed (cpu time) and classification accuracy for training and test data |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...ber=688728 |
Benediktsson, J.A.; Swain, P.H.; Ersoy, O.K.; Hong, D.; , "Classification Of Very High Dimensional Data Using Neural Networks," Geoscience and Remote Sensing Symposium, 1990. IGARSS '90. 'Remote Sensing Science for the Nineties'., 10th Annual International , vol., no., pp.1269-1272, 20-24 May 1990
doi: 10.1109/IGARSS.1990.688728URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=688728&isnumber=3531
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