A solution for humor detection in binary data, using python and some classification algorithms such as Naive Bayes, KNN, SVM, Decision Trees.
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Updated
Jul 3, 2018 - Python
A solution for humor detection in binary data, using python and some classification algorithms such as Naive Bayes, KNN, SVM, Decision Trees.
Using transfer learning to classify tools for a ColRobot application
[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.
An in-depth tutorial on the theory of panorama stitching
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
Little addon for Feature Detection and Image Tracking using OPENCV 3.4 and openFrameworks
Time series features creation
Developed an image search and retrieval system based on color, feature and shape.
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.
Awesome papers on Feature Extraction (Dimensionality Reduction)
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 grou…
Using Disparity Map and Optical Flow info to extract features from the detected objects from maskRCNN.
Codes for the paper "A Robust Of-line Writer Identification Method" in ACTA AUTOMATICA SINICA, 2020
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.
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 ph…
Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM
tsfresh is a library that automatically extracts features.
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.
EntroPy: complexity of time-series in Python (DEPRECATED)
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