Clusterability and clustering of images and other “real” high-dimensional data T Yellamraju, M Boutin IEEE Transactions on Image Processing 27 (4), 1927-1938, 2018 | 34 | 2018 |
Investigating students’ habits of mind in a course on digital signal processing T Yellamraju, AJ Magana, M Boutin IEEE Transactions on Education 62 (4), 312-324, 2019 | 23 | 2019 |
Pattern dependence detection using n-TARP clustering T Yellamraju, M Boutin arXiv preprint arXiv:1806.05297, 2018 | 10 | 2018 |
Low bit-rate compression of video and light-field data using coded snapshots and learned dictionaries C Choudhury, Y Tarun, A Rajwade, S Chaudhuri 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP …, 2015 | 9 | 2015 |
Benchmarks for image classification and other high-dimensional pattern recognition problems T Yellamraju, J Hepp, M Boutin arXiv preprint arXiv:1806.05272, 2018 | 8 | 2018 |
Code and Dataset for Pattern Recognition Benchmarks J Hepp, Y Tarun, M Boutin Purdue University Research Repository, 2016 | 7 | 2016 |
Characterizing MOOC learners from survey data using modeling and n-TARP clustering TV Williams, KA Douglas, T Yellamraju, M Boutin 2018 ASEE Annual Conference & Exposition, 2018 | 6 | 2018 |
Board# 11: Investigating engineering students habits of mind: A case study approach T Yellamraju, AJ Magana, M Boutin 2017 ASEE Annual Conference & Exposition, 2017 | 5 | 2017 |
Investigating engineering students habits of mind: a case study approach T Yellamraju, AJ Magana, M Boutin Proceedings from the 124th ASEE Annual Conference and Exposition, Colombus, OH, 2017 | 2 | 2017 |
Clustering small datasets in high-dimension by random projection A Bradford, T Yellamraju, M Boutin arXiv preprint arXiv:2008.09579, 2020 | 1 | 2020 |
n-TARP: A random projection based method for supervised and unsupervised machine learning in high-dimensions with application to educational data analysis T Yellamraju Purdue University, 2019 | 1 | 2019 |