30 citations · 94 across the 20 of their papers we have counts for
3 papers · 2 filters
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons
Edward Kim, Darryl Hannan, Garrett Kenyon
Deep feed-forward convolutional neural networks (CNNs) have become ubiquitous in virtually all machine learning and computer vision challenges; however, advancements in CNNs have a…
Image Compression: Sparse Coding vs. Bottleneck Autoencoders
Yijing Watkins, Mohammad Sayeh, Oleksandr Iaroshenko +1
Bottleneck autoencoders have been actively researched as a solution to image compression tasks. However, we observed that bottleneck autoencoders produce subjectively low quality r…
Sparse Coding on Stereo Video for Object Detection
Sheng Y. Lundquist, Melanie Mitchell, Garrett T. Kenyon
Deep Convolutional Neural Networks (DCNN) require millions of labeled training examples for image classification and object detection tasks, which restrict these models to domains…