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3Sobel Heuristic Kernel for Aerial Semantic Segmentation
T. Hu, Y. Wang, Y. Chen, P. Lu, H. Wang, and G. Wang. 2018 25th IEEE International Conference on Image Processing (ICIP), page 3074-3078. (October 2018)
2 years ago by @yaowang
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(artificial
Aerial
Detection
Heuristic
Image
Kernel;Kernel;Semantics;Image
Labeling
Segmentation;Edge
contour;aerial
dataset;Aerial
detecting
detection
detection;Neural
detection;image
edge
image
intelligence);Inria
method;SHK
module;Sobel
networks;Detectors;Convolution;Semantic
operator;traditional
segmentation;Image
segmentation;classical
segmentation;learning
segmentation;semantic
semantic
(artificialAerialDetectionHeuristicImageKernel;Kernel;Semantics;ImageLabelingSegmentation;Edgecontour;aerialdataset;Aerialdetectingdetectiondetection;Neuraldetection;imageedgeimageintelligence);Inriamethod;SHKmodule;Sobelnetworks;Detectors;Convolution;Semanticoperator;traditionalsegmentation;Imagesegmentation;classicalsegmentation;learningsegmentation;semanticsemantic
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3Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes
S. Schibisch, S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink. 2018 15th International Symposium on Wireless Communication Systems (ISWCS), page 1-5. (August 2018)
6 years ago by @inue
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components;Artificial
impairments;corrupted
myown
from:sdnr
codes;Communication
(artificial
systems;channel
network;online
conditions;varying
label
data;correct
intelligence);neural
networks;Receivers;Training;OFDM;Error
recovery;deep
codes;learning
computing;trainable
labels;end-to-end
codes;labeled
pre-equalizer
correction
systems;Neurons
modulation;telecommunication
neural
set;trainable
systems;error
trained
data
learning-based
training
hardware
adaptive
systems;adaptive
correcting
nets;OFDM
systems;trainable
communication;error
communication
components;Artificialimpairments;corruptedmyownfrom:sdnrcodes;Communication(artificialsystems;channelnetwork;onlineconditions;varyinglabeldata;correctintelligence);neuralnetworks;Receivers;Training;OFDM;Errorrecovery;deepcodes;learningcomputing;trainablelabels;end-to-endcodes;labeledpre-equalizercorrectionsystems;Neuronsmodulation;telecommunicationneuralset;trainablesystems;errortraineddatalearning-basedtraininghardwareadaptivesystems;adaptivecorrectingnets;OFDMsystems;trainablecommunication;errorcommunication
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3Deep Learning Based Communication Over the Air
S. Dörner, S. Cammerer, J. Hoydis, and S. ten Brink. IEEE Journal of Selected Topics in Signal Processing, 12 (1): 132-143 (February 2018)
6 years ago by @inue
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myown
network;over-the-air;software-defined
software-defined
from:sdnr
transmissions;open-source
(artificial
systems;block-based
module;transmitter
transmission;receiver
implementations;deep
computing;two-step
nets;radio
intelligence);neural
libraries;continuous
learning;communications
learning;end-to-end
rate;over-the-air
synchronization;frame
error
transmissions;receiver
deep
neural
software
synchronization
data
learning;modulation;neural
learning
libraries;software
radio
implementations;off-the-shelf
networks;NNs;block
procedure;end-to-end
radio;synchronisation;telecommunication
radios;Training;Receivers;Communication
networks;Hardware;Transmitters;Synchronization;Autoencoder;communication;deep
receivers;software
systems;Artificial
myownnetwork;over-the-air;software-definedsoftware-definedfrom:sdnrtransmissions;open-source(artificialsystems;block-basedmodule;transmittertransmission;receiverimplementations;deepcomputing;two-stepnets;radiointelligence);neurallibraries;continuouslearning;communicationslearning;end-to-endrate;over-the-airsynchronization;frameerrortransmissions;receiverdeepneuralsoftwaresynchronizationdatalearning;modulation;neurallearninglibraries;softwareradioimplementations;off-the-shelfnetworks;NNs;blockprocedure;end-to-endradio;synchronisation;telecommunicationradios;Training;Receivers;Communicationnetworks;Hardware;Transmitters;Synchronization;Autoencoder;communication;deepreceivers;softwaresystems;Artificial
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3On Deep Learning-Based Massive MIMO Indoor User Localization
M. Arnold, S. Dörner, S. Cammerer, and S. ten Brink. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), page 1-5. (June 2018)
6 years ago by @inue
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multiple-output
myown
from:sdnr
(artificial
multiplex;complex
communication;neural
networks;Training;Antenna
estimation;gradient
system;Artificial
descent
modulation;deep
intelligence);MIMO
massive
indoor
localization;deep
arrays;Antenna
networks;multiple-input
methods;learning
user
measurements;OFDM;Machine
neural
frequency
systems;gradient
channel
learning
learning-based
training
coefficients;indoor
division
nets;OFDM
optimization;two-step
positioning
MIMO
procedure;OFDM
user;orthogonal
multiple-outputmyownfrom:sdnr(artificialmultiplex;complexcommunication;neuralnetworks;Training;Antennaestimation;gradientsystem;Artificialdescentmodulation;deepintelligence);MIMOmassiveindoorlocalization;deeparrays;Antennanetworks;multiple-inputmethods;learningusermeasurements;OFDM;Machineneuralfrequencysystems;gradientchannellearninglearning-basedtrainingcoefficients;indoordivisionnets;OFDMoptimization;two-steppositioningMIMOprocedure;OFDMuser;orthogonal
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5Towards Practical Indoor Positioning Based on Massive MIMO Systems
M. Widmaier, M. Arnold, S. Dörner, S. Cammerer, and S. ten Brink. 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), page 1-6. (September 2019)
6 years ago by @inue
show all tags
extractor;Artificial
multiple-output
myown
from:sdnr
(artificial
communication;neural
nets;telecommunication
system;neural
extraction
arrays;Feature
structure;phase
measurements;Training;Antenna
radio;learning
system;user
intelligence);MIMO
acquisition;feature
NN
localization
communication;indoor
neural
data
networks;channel
branch;indoor
extraction;indoor
systems;indoor
scenarios;recall
positioning
MIMO
accuracy;training
networks;Antenna
information;multiple-input
state
system;IPS
computing;massive
task;tailored
communication
extractor;Artificialmultiple-outputmyownfrom:sdnr(artificialcommunication;neuralnets;telecommunicationsystem;neuralextractionarrays;Featurestructure;phasemeasurements;Training;Antennaradio;learningsystem;userintelligence);MIMOacquisition;featureNNlocalizationcommunication;indoorneuraldatanetworks;channelbranch;indoorextraction;indoorsystems;indoorscenarios;recallpositioningMIMOaccuracy;trainingnetworks;Antennainformation;multiple-inputstatesystem;IPScomputing;massivetask;tailoredcommunication
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3OFDM-Autoencoder for End-to-End Learning of Communications Systems
A. Felix, S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), page 1-5. (June 2018)
6 years ago by @inue
show all tags
amplifier;frequency-selective
myown
from:sdnr
network-based
autoencoders;single-tap
computing;end-to-end
(artificial
networks;Synchronization;Training;Signal
processing;Robustness
libraries;synchronisation;telecommunication
channels;cyclic
fading
modulation;software
training;deep
oscillators;commodity
multiplexing;OFDM;Receivers;Artificial
errors;single-carrier
prefix;orthogonal
implementations;reliable
libraries;imprecise
equalisers;fading
hardware;multipath
intelligence);multipath
neural
software
synchronization
frequency
communication;OFDM-autoencoder;nonlinear
learning
equalization;sampling
channels;gradient-based
channels;learning
division
learning;deep
channels;neural
nets;OFDM
amplifier;frequency-selectivemyownfrom:sdnrnetwork-basedautoencoders;single-tapcomputing;end-to-end(artificialnetworks;Synchronization;Training;Signalprocessing;Robustnesslibraries;synchronisation;telecommunicationchannels;cyclicfadingmodulation;softwaretraining;deeposcillators;commoditymultiplexing;OFDM;Receivers;Artificialerrors;single-carrierprefix;orthogonalimplementations;reliablelibraries;impreciseequalisers;fadinghardware;multipathintelligence);multipathneuralsoftwaresynchronizationfrequencycommunication;OFDM-autoencoder;nonlinearlearningequalization;samplingchannels;gradient-basedchannels;learningdivisionlearning;deepchannels;neuralnets;OFDM
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3Sobel Heuristic Kernel for Aerial Semantic Segmentation

3Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes

3Deep Learning Based Communication Over the Air

3On Deep Learning-Based Massive MIMO Indoor User Localization

5Towards Practical Indoor Positioning Based on Massive MIMO Systems

3OFDM-Autoencoder for End-to-End Learning of Communications Systems

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publications (hide)6 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... BibTeXCSVRDFRSSmore...

3Sobel Heuristic Kernel for Aerial Semantic Segmentation

3Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes

3Deep Learning Based Communication Over the Air

3On Deep Learning-Based Massive MIMO Indoor User Localization

5Towards Practical Indoor Positioning Based on Massive MIMO Systems

3OFDM-Autoencoder for End-to-End Learning of Communications Systems

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related tags

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