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classification-of-hyperspectral-image-1

classification-of-infected-rbcs-using---1dpca-2dpca-statistical-features-and-pcanet

Summer Internship

classification_of_hyperspectral_images_based_on_deep_boltzmann_machines

classifiers

Maximum Entropy and Hidden Markov Model classifiers

classtering

Classtering: Bayesian parametric model for semi-supervised learning

cliquenet

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

cloud-net-a-semantic-segmentation-cnn-for-cloud-detection

A semantic segmentation CNN for cloud detection

cloud_stats

Python library to calculate the cloud cover rate from Landsat 8 scenes metadata.

cloudcompare

CloudCompare main repository

cloudless

Deep learning pipeline for orbital satellite data for detecting clouds

clp_foss4g_workshop

Free and Open Source Geospatial Workshop for Conservationists 

clrs

:notebook:Solutions to Introduction to Algorithms

clsparse

a software library containing Sparse functions written in OpenCL

clusteranalysis

K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

clustersvdd

Cluster Support Vector Data Description

cml

Constrained Manifold Learning for Hyperspectral Imagery Visualization

cmu.16720.hw2.bowclassification

Computer Vision: Bag-of-Words for Scene Classification

cmu16720-scene-classification

First assignment for CMU 16720-computer vision course.

cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

cnn-for-face-image-retrieval

:apple:Face image rerieval

cnn-for-image-retrieval

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

cnn-for-satellite-data

A simple conv-deconv neural network for semantic segmentation on satellite data

cnn-image-retrieval

cnn-matlab

this project is rewrited based on the matlab deep learning tool box.used for learning cnn.

cnn-mrf-v1

This is a modified version of the code for Hyperspectral image classification using CNN (Post-processing code is written in python).

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

cnn-web-demo-for-image-retrieval

The code of search.yongyuan.name. Enjoy yourself!

cnn3d_medical

3D Convolutional neural network for medical image segmentation

cnnimageretrieval

CNNImageRetrieval: Training and evaluating CNNs for Image Retrieval

cnniqa

CVPR2014-Convolutional neural networks for no-reference image quality assessment