Hailong Su's repositories
scikit-learn
scikit-learn: machine learning in Python
100-Days-Of-ML-Code
100 Days of ML Coding
architecture.taobao-alibaba
互联网公司架构: 淘宝技术架构，阿里巴巴技术架构
ClassifierToolbox
A MATLAB toolbox for face classifier 1.0.7
CNN_HSIC_MRF
This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification
deep-residual-networks
Deep Residual Learning for Image Recognition
deeplearn_hsi
Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR
DeHIC
Deep learning framework for hyperspectral image classification
DistanceMetricLearning
Convex and Nonsmooth Optimization project
DMLMJ
Supervised distance metric learning through maximization of the Jeffrey divergence
ExtendedMorphologicalProfiles
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
faster_rcnn
Faster R-CNN
FEM
A fast and efficient short read mapper
HSI_Classification
Hyperspectral image classification
hyperspectral-classification-with-svm
This repo contains an illustration of the use of kernel support vector machine for hyperspectral image classifiication as well as a comparison with least sqaure methods.
Hyperspectral-image-target-detection-based-on-sparse-representation
Hyperspectral image Target Detection based on Sparse Representation
Hyperspectral_Image_Classification_Package
This project aims to provide some baseline comparing methods for the task of supervised HSI classification.
HyperspectralAnalysisIntroduction
Brief Introduction to Hyperspectral Image Analysis - Jupyter Notebook
Image-compression-using-Haar-Wavelet-Transformation
This repository is created to compress both RGB and grey scale images using haar wavelet transformation.
Image-Inpainting-Sparse-Representation
Image inpainting using sparse representations (OMP and IRLS)
Kart
Kart: A divide-and-conquer algorithm for NGS read mapping with high error tolerance
matconvnet
MatConvNet: CNNs for MATLAB
sparse-plex
A MATLAB library for sparse representation problems
Wavelet-Transform-for-Image-Processing
Wavelet Transform for Image decomposition, Image reconstruction and Image denoising
Wavelet-Transformation-on-Images
The wavelet transform is similar to the Fourier transform (or much more to the windowed Fourier transform) with a completely different merit function. The main difference is this: Fourier transform decomposes the signal into sines and cosines, i.e. the functions localized in Fourier space; in contrary the wavelet transform uses functions that are localized in both the real and Fourier space.
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wgsim
Reads simulator