260 citations · 477 across the 11 of their papers we have counts for
6 papers · 1 filter
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
Joshua Peeples, Sarah Walker, Connor McCurley +3
Feature representation is an important aspect of remote-sensing based image classification. While deep convolutional neural networks are able to effectively amalgamate information,…
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Guohao Yu, Alina Zare, Weihuang Xu +4
We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are u…
Outlier Detection through Null Space Analysis of Neural Networks
Matthew Cook, Alina Zare, Paul Gader
Many machine learning classification systems lack competency awareness. Specifically, many systems lack the ability to identify when outliers (e.g., samples that are distinct from…
Super Resolution for Root Imaging
Jose F. Ruiz-Munoz, Jyothier K. Nimmagadda, Tyler G. Dowd +2
High-resolution cameras have become very helpful for plant phenotyping by providing a mechanism for tasks such as target versus background discrimination, and the measurement and a…
Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +6
The spectral signatures of the materials contained in hyperspectral images, also called endmembers (EM), can be significantly affected by variations in atmospheric, illumination or…
Histogram Layers for Texture Analysis
Joshua Peeples, Weihuang Xu, Alina Zare
An essential aspect of texture analysis is the extraction of features that describe the distribution of values in local, spatial regions. We present a localized histogram layer for…