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xiaogaogaoxiao's Projects

ba_machine_learning_2019 icon ba_machine_learning_2019

Bachelor Thesis 2019, Stock market prediction using deep LSTM networks (Vorhersage von Aktienkursen mittels tiefen LSTM-Netzwerken), Joel Erzinger und Silvio Jäger, NTB - University of Applied Sciences Buchs

basecalibration icon basecalibration

Liao Wu, Hongliang Ren. Finding the kinematic base frame of a robot by hand-eye calibration using 3D position data. IEEE Transactions on Automation Science and Engineering. 2017, 14(1): 314-324.

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesbinn icon bayesbinn

Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule

bbcpop_dev icon bbcpop_dev

BBCPOP: A Sparse Doubly Nonnegative Relaxation of Polynomial Optimization Problems with Binary, Box and Complementarity Constraints

bcdigeometry-part2-reconstructioncode icon bcdigeometry-part2-reconstructioncode

Code to achieve the geometry-aware phase retrieval described in the paper "General approaches for shear-correcting coordinate transformations in Bragg coherent diffraction imaging: Part 2". Includes Matlab code for the geometry-aware 3D FFT and backprojection-based reconstruction.

beamdiscoverypublic icon beamdiscoverypublic

This repository contains simulation codes for the paper "Source Coding Based Millimeter-Wave Channel Estimation with Deep Learning Based Decoding"

beamformingnoma icon beamformingnoma

Simulation code for "Fast adaptive minorization-maximization procedure for beamforming design of downlink NOMA systems," by O. Lyons, M. F. Hanif, M. Juntti, L.-N. Tran, IEEE Trans. Veh. Technol., vol. 69, no. 7, pp. 8023-8027, Jul. 2020.

beampatterndesign icon beampatterndesign

Optimal Beam Pattern Design for Hybrid Beamforming in Millimeter Wave Communications

behance_release icon behance_release

PyTorch code for Expressive 2019 ``Learning from Multi-domain Artistic Images for Arbitrary Style Transfer''

bf-design-with-dl icon bf-design-with-dl

This is the simulation code for the paper "Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning". Deep learning for 5G communication. Deep learning for beamforming. Beamforming design with deep learning.

bfgs-pso icon bfgs-pso

W. Xiong and H. C. So, "Outlier-Robust Passive Elliptic Target Localization," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2023.3270929.

bg-gpr-spinnaker icon bg-gpr-spinnaker

The Basal Ganglia model inspired by the GPR model, designed to run on the SpiNNaker machine. The work is then compared with a similar model on SpineCreator, available on Github. The work is published in the IEEE transactions on Cognitive and Developmental Systems.

bgsuperpixels icon bgsuperpixels

Yuanfeng Zhou, Xiao Pan, Wenping Wang, Yilong Yin, Caiming Zhang, "Superpixels by Bilateral Geodesic Distance", IEEE Transactions on Circuits and Systems for Video Technology, 27(11): 2281-2293 (2017).

bimef icon bimef

Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

bity icon bity

(ICFEM2017 / IEEE Transactions on Reliability) Learning Type for Binary / Type Learning for Binaries and its Applications

blasfeo icon blasfeo

Basic linear algebra subroutines for embedded optimization

blazingsaddles icon blazingsaddles

Material for the course "Iterative Methods For Large-Scale Saddle-Point Problems"

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