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07/12/2023
Discovering Image Usage Online: A Case Study With "Flatten the Curve”
Understanding the spread of images across the web helps us understand th...
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04/18/2023
Semi-supervised Learning of Pushforwards For Domain Translation Adaptation
Given two probability densities on related data spaces, we seek a map pu...
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12/14/2022
Generative structured normalizing flow Gaussian processes applied to spectroscopic data
In this work, we propose a novel generative model for mapping inputs to ...
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11/03/2022
Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine
Much computer vision research has focused on natural images, but technic...
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06/02/2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space
Machine learning classifiers have been demonstrated, both empirically an...
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12/08/2021
On visual self-supervision and its effect on model robustness
Recent self-supervision methods have found success in learning feature r...
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10/26/2021
Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data
This work tests whether deep neural networks can clean laser induced bre...
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08/17/2021
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
Constructing probability densities for inference in high-dimensional spe...
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06/29/2021
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
We present a method for learning "spectrally descriptive" edge weights f...
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12/03/2020
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
This work proposes a spectral convolutional neural network (CNN) operati...
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11/20/2020
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Catastrophic failure in brittle materials is often due to the rapid grow...
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04/22/2020
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
Resolution of the complex problem of image retrieval for diagram images ...
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04/12/2020
Learning Spatial Relationships between Samples of Image Shapes
Many applications including image based classification and retrieval of ...
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02/27/2020
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images
Line segment detection is an essential task in computer vision and image...
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01/04/2019
The ISTI Rapid Response on Exploring Cloud Computing 2018
This report describes eighteen projects that explored how commercial clo...
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02/03/2015
Learning Planar Ising Models
Inference and learning of graphical models are both well-studied problem...
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07/09/2013
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis
Graphical models have gained a lot of attention recently as a tool for l...
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07/09/2013