51 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.LG2014★ 51 cited
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew Davis, Itamar Arel
Scalability properties of deep neural networks raise key research questions, particularly as the problems considered become larger and more challenging. This paper expands on the i…
cs.CV2013
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models
Derek Rose, Itamar Arel
Hyper-parameter selection remains a daunting task when building a pattern recognition architecture which performs well, particularly in recently constructed visual pipeline models…
cs.CV2013★ 1 cited
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN
Steven R. Young, Itamar Arel
This paper presents a basic enhancement to the DeSTIN deep learning architecture by replacing the explicitly calculated transition tables that are used to capture temporal features…