6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2015
Minimally Supervised Feature Selection for Classification (Master's Thesis, University Politehnica of Bucharest)
Alexandra Maria Radu
In the context of the highly increasing number of features that are available nowadays we design a robust and fast method for feature selection. The method tries to select the most…
cs.CV2015
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision
Marius Leordeanu, Alexandra Radu, Shumeet Baluja +1
Feature selection is essential for effective visual recognition. We propose an efficient joint classifier learning and feature selection method that discovers sparse, compact repre…
cs.CV2014★ 6 cited
Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering
Marius Leordeanu, Alexandra Radu, Rahul Sukthankar
Feature selection is an essential problem in computer vision, important for category learning and recognition. Along with the rapid development of a wide variety of visual features…