Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection.
Sunidhi DhandhaniaAkshay DeodharKonstantin PogorelovSwarnendu BiswasJohannes LangguthPublished in: ICPP Workshops (2021)
Keyphrases
- supervised methods
- sparse matrix
- unsupervised methods
- semi supervised
- weakly supervised
- labeled data
- methods require
- semantic segmentation
- word sense disambiguation
- object class
- labor intensive
- fully automated
- random projections
- wordnet
- labeled training data
- semi supervised learning
- classification models
- learning algorithm
- text classification
- object detection
- active learning
- object recognition
- training data
- image processing