Tags: Electrical and Computer Engineering

All Categories (1-17 of 17)

  1. A Machine Learning Approach to Design of Aperiodic, Clustered-Dot Halftone Screens via Direct Binary Search

    2022-05-31 21:07:34 | Datasets | Contributor(s): Tal Frank, Jiayin Liu, Shani Gat, Oren Haik, Orel Bat Mor, Itamar Roth, Jan Allebach, Yitzhak Yitzhaky | doi:10.4231/AMGQ-0T59

    This dataset contains two parts: one has halftone patches that were used to predicts the quality level and scale using machine learning methods. The second part contains full versions of halftone images so viewers can zoom in to see the details.

    https://purr.purdue.edu/publications/4061

  2. Combine Kart Truck GPS Data Archive

    2021-12-08 21:03:48 | Datasets | Contributor(s): Yaguang Zhang, James Krogmeier | doi:10.4231/4Z4S-M018

    GPS data for agricultural vehicles collected during wheat harvesting.

    https://purr.purdue.edu/publications/3083

  3. Combine Kart Truck GPS Data Archive

    2020-05-27 14:41:08 | Datasets | Contributor(s): Yaguang Zhang, James Krogmeier | doi:10.4231/4Z4S-M018

    GPS data for agricultural vehicles collected during wheat harvesting.

    https://purr.purdue.edu/publications/3083

  4. Raw PPG Signal Measured Using Wearable Sensor-kit in Varying Levels of Activity

    2019-05-01 21:23:02 | Datasets | Contributor(s): Tiberius Wehrly, Deena Alabed, Mireille Boutin | doi:10.4231/8VF2-1729

    Photoplethysmogram (PPG) signals collected from five subjects in three scenarios that vary in the level of activity, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.

    https://purr.purdue.edu/publications/3180

  5. Labeled Raw PPG Signals Measured Using Wearable Sensor-kit

    2019-05-01 21:16:59 | Datasets | Contributor(s): Tiberius Wehrly, Deena Alabed, Mireille Boutin | doi:10.4231/1BE9-YY17

    Photoplethysmogram (PPG) signals collected from nine subjects in a still seated position, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.

    https://purr.purdue.edu/publications/3179

  6. 20 Commercial Foods to Test 3-step Phenylalanine Estimation Process

    2019-03-26 16:10:46 | Datasets | Contributor(s): Amruthavarshini Talikoti, Mireille Boutin | doi:10.4231/R7K35RV5

    This publication contains the ingredient list and phe:protein ratios for 20 commercial foods, along with assumptions made to test a proposed mathematical process to estimate phenylalanine in commercial foods.

    https://purr.purdue.edu/publications/2940

  7. Combine Kart Truck GPS Data Archive

    2019-02-04 17:15:28 | Datasets | Contributor(s): Yaguang Zhang, James Krogmeier | doi:10.4231/4Z4S-M018

    GPS data for agricultural vehicles collected during wheat harvesting.

    https://purr.purdue.edu/publications/3083

  8. Shape-from-Echoes: MAGMA Code V1

    2019-01-31 14:22:44 | Datasets | Contributor(s): Gregor Kemper | doi:10.4231/Q3AN-YR91

    MAGMA Code to compute

    https://purr.purdue.edu/publications/3105

  9. n-TARP Binary Clustering Code

    2018-05-03 14:17:23 | Datasets | Contributor(s): Yellamraju Tarun, Mireille Boutin | doi:10.4231/R74B2ZJV

    Binary clustering algorithm based on random projections

    https://purr.purdue.edu/publications/2973

  10. Database of images for low complexity sign detection and text localization method for mobile applications

    2018-01-29 15:40:19 | Datasets | Contributor(s): Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp | doi:10.4231/R7ZP44BW

    This database contains images that were used for training and testing of our text detection and localization algorithm.

    https://purr.purdue.edu/publications/2896

  11. Code and Dataset for TARP Detection Benchmarks

    2017-05-12 20:50:14 | Datasets | Contributor(s): Kelsie Larson, Mireille Boutin | doi:10.4231/R7ST7MVC

    The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.

    https://purr.purdue.edu/publications/2449

  12. Code and Dataset for Pattern Recognition Benchmarks

    2016-12-09 20:52:50 | Datasets | Contributor(s): Jonas Hepp, Yellamraju Tarun, Mireille Boutin | doi:10.4231/R7610X8M

    This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

    https://purr.purdue.edu/publications/2030

  13. Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG

    2016-06-07 13:01:13 | Datasets | Contributor(s): Rodrigo Castellanos, Zhongming Liu | doi:10.4231/R7QF8QT4

    This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.

    https://purr.purdue.edu/publications/1936

  14. Code and Dataset for Pattern Recognition Benchmarks

    2016-02-01 23:19:44 | Datasets | Contributor(s): Jonas Hepp, Yellamraju Tarun, Mireille Boutin | doi:10.4231/R7610X8M

    This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

    https://purr.purdue.edu/publications/2030

  15. Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG

    2015-07-16 18:53:32 | Datasets | Contributor(s): Rodrigo Castellanos, Zhongming Liu | doi:10.4231/R7QF8QT4

    This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.

    https://purr.purdue.edu/publications/1936

  16. Benchmark circuits for clock scheduling and synthesis

    2015-03-24 22:10:45 | Datasets | Contributor(s): Rickard F. Ewetz, Shankarshana Janarthanan, Cheng-Kok Koh | doi:10.4231/R7Q23X5D

    This repository contains experimental data related to our ASP-DAC 2015, ISPD 2015, and DAC2015 publications.

    https://purr.purdue.edu/publications/1759

  17. RP1D (Clustering Method Using 1D Random Projections)

    2014-11-12 17:18:19 | Datasets | Contributor(s): Sangchun Han, Mireille Boutin | doi:10.4231/R74F1NN4

    The source code of RP1D (Clustering Method Using 1D Random Projections).

    https://purr.purdue.edu/publications/1729

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