Topic: features-extraction Goto Github
Some thing interesting about features-extraction
Some thing interesting about features-extraction
features-extraction,The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell phone) images. We then extract relevant features by using classical features extraction techniques including Histogram of Oriented Gradients (HOG) and Speeded up Robust Features (SURF).The extracted features are then, passed to classifier for detection. We employ Support Vector Machine (SVM), Nearest Neighbor (K-NN) and Decision tree classifier which are already trained on our dataset of training images of persons using mobile or otherwise. Finally, the detection performance in terms of error rate is compared for various combinations of feature extraction and classification techniques. Our results show that SURF with SVM classifier gives the best accuracy.
User: abdulrehman786302
features-extraction,Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
User: akshaydnicator
Home Page: https://datahack.analyticsvidhya.com/contest/linguipedia-codefest-natural-language-processing-1/
features-extraction,Classifying a person's actions (opening right hand, opening left hand, opening both hands, closing both hands) based on real motor imagery electroencephalogram (EEG) data on an STM32 microcontroller and the Gapuino board using Python and C++, achieved classification accuracy of 40%
User: alksarioglou
features-extraction,A solution for humor detection in binary data, using python and some classification algorithms such as Naive Bayes, KNN, SVM, Decision Trees.
User: ancaelena10
features-extraction,Kialo Scraper used for "Argumentative-debates" project. Edited by @FedeSpu
User: andrep-git
features-extraction,Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'
User: bharathsudharsan
features-extraction,Learnable STRF, from Riad et al. 2021 JASA
Organization: bootphon
features-extraction, Manipulation of the 102 flowers dataset
User: cback13
features-extraction,FeatVIS: High dimensional feature space visualization
User: cbalint13
features-extraction,
Organization: ccipd
features-extraction,[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg
User: controlnet
features-extraction,Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API
User: csukuangfj
Home Page: https://csukuangfj.github.io/kaldifeat
features-extraction,Object Classification is one of the most significant tasks whose development is constantly growing in the field of deep learning research. The objective of this study is the development of neural architectures for the classification of images (of fruits and vegetables) contained within the Fruits-360 dataset. The methodological approach adopted to face the task in question has been the development of three models of convolutional neural networks obtained by applying three different techniques typical of deep learning: development of a convolutional neural network ex novo, Use of a pre-computed convolutional neural network using the transfer learning technique and use of a pre-defined convolutional neural network as a feature extraction tool.
User: dariodellamura
features-extraction,Benchmarks on various datasets for music analysis of symbolic scores
Organization: didoneproject
Home Page: https://musif.didone.eu
features-extraction,An in-depth tutorial on the theory of panorama stitching
User: dmckinnon
features-extraction,[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.
User: gangeshwark
features-extraction,automatic pipeline based on MRI segmentation and features extraction
User: giuseppefilitto
features-extraction,A Python library that allows easy extraction of a variety of text units within texts...
User: halvani
features-extraction,Using features-matching algorithm for tracking object
User: hamedkiri
features-extraction,Using transfer learning to classify tools for a ColRobot application
User: huchorigard
features-extraction,This repository contains Python scripts for extracting linguistic features from Filipino texts.
User: imperialite
features-extraction,Conversion of depth data to derived images that allow classical feature detection. My master thesis.
User: jonastoth
features-extraction,Analysis of public audio datasets and audio datasets of my making
User: kenanmorani
features-extraction,Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
User: lastancientone
features-extraction,Time series features creation
User: lopezco
features-extraction,Python Open-source package for medical images processing and radiomics features extraction.
User: mahdiall99
Home Page: https://medimage.readthedocs.io/
features-extraction,This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.
User: marcocolangelo
features-extraction,Little addon for Feature Detection and Image Tracking using OPENCV 3.4 and openFrameworks
User: martial
features-extraction,Spatio-temporal features extraction that measure the stabilty. The proposed method is based on a compression algorithm named Run Length Encoding. The workflow of the method is presented bellow.
User: mchelali
features-extraction,Awesome papers on Feature Extraction (Dimensionality Reduction)
Organization: mlpapers
Home Page: https://mlpapers.org/feature-extraction/
features-extraction,Argument classification with BERT plus contextual and structural features as text for ICONIP 2022.
User: mohammadoumar
features-extraction,Thesis: "Autocalibration of monocular cameras for autonomous driving scenarios", carried out in collaboration with Luxoft. This repository contains all the related code and the two implemented solution pipelines for Structure from Motion (SfM) implementation.
User: nopesir
features-extraction,This sentiment analysis project extracts features such as content length, tokens, hashtags, bad words, and various emojis. It also includes word features. Preprocessing steps include removing stop words, non-Arabic characters, consecutive redundant characters, and stemming to improve the models' accuracy in classifying the tweets. Max accuracy 88%.
User: obada-jaras
features-extraction,FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.
User: protti
features-extraction,EntroPy: complexity of time-series in Python (DEPRECATED)
User: raphaelvallat
Home Page: https://raphaelvallat.com/entropy/
features-extraction,Developed an image search and retrieval system based on color, feature and shape.
User: relstudiosnx
features-extraction,The project addresses automatic detection of microaneurysms (MA) which are first detectable changes in Diabetic Retinopathy (DR). Green channel, being the most contrasted channel, of the color fundus images are considered. The algorithm includes pre-processing, MA candidates detection, features extraction, classification and comparison with ground truth to evaluate the performance of classifier model.
User: ritulahoti
features-extraction,Python tool for extraction lots of different historical features based on weather, climate and others indicators
User: romario076
features-extraction,LibSA4Py: Light-weight static analysis for extracting type hints and features
Organization: saltudelft
features-extraction,Dataset for multimedia manipulation detection
User: saraferreirascf
features-extraction,Codes for the paper "A Robust Of-line Writer Identification Method" in ACTA AUTOMATICA SINICA, 2020
User: shiming-chen
features-extraction,:sound: spafe: Simplified Python Audio Features Extraction
User: superkogito
Home Page: https://superkogito.github.io/spafe/
features-extraction,Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM
User: tanveer-hussain
features-extraction,Using Disparity Map and Optical Flow info to extract features from the detected objects from maskRCNN.
User: thiagortk
features-extraction,Deep learning methods for feature selection in gene expression autism data.
User: tlatkowski
features-extraction,machine learning
User: vicaaa12
features-extraction,Generalized Time Series Decomposition (GTSD) is an experimental method of generating and using large recurrence plots to self identify and segment away features of an unknown time series.
User: wshclth
features-extraction,SURF (Speeded Up Robust Features)
User: xaaaandao
features-extraction,Project in the Durrant Lab at UPitt that wanted to re-use code from a previous neural network ligand-protein interaction software to extract features for ML
User: yogionbioinformatics
Home Page: https://pubs.acs.org/doi/10.1021/ci2003889
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