Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Getting and Cleaning Data Course: Human Activity Recognition Using Smartphones Dataset Project repo: date created 51224
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Updated
Jan 14, 2016 - R
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Getting and Cleaning Data Course: Human Activity Recognition Using Smartphones Dataset Project repo: date created 51224
A codebook of spikes configuring variations of a Flask app for GE's Predix platform
Alogrithm ,Data Structure, Codebook
Density-based random swap algorithm for research purposes. Requires the CB modules package from http://cs.uef.fi/sipu/soft/modules.zip. Used in my thesis: Piiroinen, J. (2018). Density-based clustering. (Master's thesis)
This statistical exploration is done on a dataset collected from young adults (ages 18-22) on various topics
Getting and cleaning data from the recordings of 30 subjects performing activities of daily living while carrying a waist-mounted smartphone with embedded inertial sensors.
Implementation of Standard Algorithms in C++
Implementation of Real-time foreground–background segmentation using codebook model
The Leek group guide to data sharing. A good resource to have around when cleaning/preprocessing data.
Speech Recognition System
MATLAB application for ns-3 IEEE 802.11ad/ay codebook/beambook generation
An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm
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