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SSIAI 2020: Albuquerque, NM, USA
- IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020, Albuquerque, NM, USA, March 29-31, 2020. IEEE 2020, ISBN 978-1-7281-5745-0
- Juan Castorena, Diane Oyen
:
Learning Shapes on Image Sampled Points with Dynamic Graph CNNs. 1-4 - Ruiting Shao, Edward J. Delp
Forensic Scanner Identification Using Machine Learning. 1-4 - Luis Sanchez Tapia, Marios S. Pattichis
The Importance of the Instantaneous Phase for Face Detection using Simple Convolutional Neural Networks. 1-4 - Youzuo Lin, James Theiler, Brendt Wohlberg, Yue Wu, Zhongping Zhang:
Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging. 13 - Harshit S. Parmar, Sunanda Mitra, Brian Nutter, L. Rodney Long, Sameer K. Antani:
Visualization and Detection of Changes in Brain States Using t-SNE. 14-17 - A. Kurup, Peter Soliz, Sheila C. Nemeth, Vinayak Joshi:
Automated Detection of Malarial Retinopathy Using Transfer Learning. 18-21 - Omid Bazgir
Kidney segmentation using 3D U-Net localized with Expectation Maximization. 22-25 - Sundaresh Ram, Vicky T. Nguyen, Kirsten H. Limesand, Jeffrey J. Rodríguez:
Combined Detection and Segmentation of Cell Nuclei in Microscopy Images Using Deep Learning. 26-29 - Wenshu Zhang
Towards Understanding Speciation By Automated Extraction And Description Of 3d Foraminifera Stacks. 30-33 - Victor M. Vergara, Vince D. Calhoun:
Nicotine Addiction Decreases Dynamic Connectivity Frequency In Functional Magnetic Resonance Imaging. 34-37 - Elena C. Reinisch, James Theiler, Amanda Ziemann:
Identifying forest thinning using anomalous change detection on synthetic aperture radar data. 38-41 - Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux:
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. 42-45 - Hannah J. Murphy, Christopher X. Ren, Matthew T. Calef:
Feature Augmentation Improves Anomalous Change Detection for Human Activity Identification in Synthetic Aperture Radar Imagery. 46-49 - Shengtai Ju, Marisa A. Erasmus, Amy R. Reibman
Video Tracking to Monitor Turkey Welfare. 50-53 - Adrian Kretz, Rudolf Mester:
A Shared Representation for Object Tracking and Classification using Siamese Networks. 54-57 - Omid Jafari, Parth Nagarkar
Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries. 58-61 - Changye Yang, Sriram Baireddy, Yuhao Chen
Plant Stem Segmentation Using Fast Ground Truth Generation. 62-65 - Praneet Singh, Stacy M. Lindshield
Animal Localization in Camera-Trap Images with Complex Backgrounds. 66-69 - Cesar Carranza, Daniel Llamocca, Marios Pattichis
Fast and Scalable 2D Convolutions and Cross-correlations for Processing Image Databases and Videos on CPUs. 70-73 - Kyle Henke, Garrett T. Kenyon, Ben Migliori:
Machine Learning in a Post Moore's Law World: Quantum vs. Neuromorphic Substrates. 74-77 - Sydney DeMets, Amanda Ziemann, Carrie Manore, Curtis Russell:
Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery. 78-81 - Amanda Ziemann, Travis Pitts:
Exploring feature augmentation as a method for improving panchromatic remote sensing change detection. 82-85 - Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux, Amanda Ziemann, James Theiler:
On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict. 86-89 - Marc Kassubeck, Talash Malek, Moritz Mühlhausen, Moritz Kappel, Susana Castillo
Optical Quality Control for Adaptive Polishing Processes. 90-94 - Daniel A. Wang, Charles M. S. Strauss, Jacob M. Springer, Austin Thresher, Howard Pritchard, Garrett T. Kenyon:
Sparse MP4. 99-103 - Joseph P. Havlicek, Tristan N. Arian, Hoda Soltani, Tomasz Przebinda, Murad Özaydin:
A Preliminary Case for Hirschman Transform Video Coding. 104-107 - Robyn L. Miller, Vince D. Calhoun:
Transient Spectral Peak Analysis Reveals Distinct Temporal Activation Profiles for Different Functional Brain Networks. 108-111 - Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun
A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. 112-115 - Mohammad S. Majdi
Deep Learning Classification of Chest X-Ray Images. 116-119 - Michael A. Teti, Emily Meyer, Garrett T. Kenyon:
Can Lateral Inhibition for Sparse Coding Help Explain V1 Neuronal Responses To Natural Stimuli? 120-124 - Al Bovik:
Weeping and Gnashing of Teeth: Teaching Deep Learning in Image and Video Processing Classes. 125-129 - Samarth Singh, Ginger S. Watson, Peter A. Youngs, Scott T. Acton:
A Neural Network Approach to Automated Classification of Elementary Mathematics Instructional Activities. 130
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