papers
Publications (12)
stat.ML2016
Feature Selection with Annealing for Computer Vision and Big Data Learning
Adrian Barbu, Yiyuan She, Liangjing Ding +1
cs.CV2017
Parameterized Principal Component Analysis
Ajay Gupta, Adrian Barbu
cs.CV2017
RENOIR - A Dataset for Real Low-Light Image Noise Reduction
Josue Anaya, Adrian Barbu
stat.ML2012
An Introduction to Artificial Prediction Markets for Classification
Adrian Barbu, Nathan Lay
cs.CV2015
Face Detection with a 3D Model
Adrian Barbu, Nathan Lay, Gary Gramajo
cs.CV2012
Hierarchical Object Parsing from Structured Noisy Point Clouds
Adrian Barbu
stat.ML2018
Random Hinge Forest for Differentiable Learning
Nathan Lay, Adam P. Harrison, Sharon Schreiber +2
stat.ML2015
Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee
Adrian Barbu, Tianfu Wu, Ying Nian Wu
stat.ML2012
The Artificial Regression Market
Nathan Lay, Adrian Barbu
stat.ML2009
Dimension reduction and variable selection in case control studies via regularized likelihood optimization
Florentina Bunea, Adrian Barbu
stat.ML2018
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks
Brian Bartoldson, Adrian Barbu, Gordon Erlebacher
math.ST2010
SPADES and mixture models
Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp +1