Classify sets of images in the browser
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Updated
Mar 11, 2016 - JavaScript
Classify sets of images in the browser
Dense Bag-of-Temporal-SIFT-Words
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
Exploring an approach that bridges computer vision and natural language processing by jointly modeling the labels of sequences of noisy character images that form complete words. This is a natural problem for chain-structured CRFs
Computer Vision: Vehicle Detection
Vehicle detection in dash cam video
Discovers new ontological categories (WordNet synsets) for words based on their lexicosyntactic patterns in Wikipedia
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Self Driving Car ND Project 5 - Vehicle Detection
Takes 2 images and says how similar they are based on Euclidean distance of feature vectors
Calculate Entropy in R
The spam classifier classifies the emails into ham or spam depending on the type of mail and based on the Naives bayes machine learning model used in the Project.
Invariant Superpixel Features for Object Detection
Creating a function that takes an image, a color space conversion, and the resolution to convert it into a feature vector
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
Generates Caption from sample Images Using Deep Neural Networks
A project on text classification
Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel fi…
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