University of Florida

research

∙ 12/10/2019

No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features

Kernel methods form a powerful, versatile, and theoretically-grounded un...

Kan Li, et al. ∙

research

∙ 01/01/2020

Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces

Kernel methods form a theoretically-grounded, powerful and versatile fra...

Kan Li, et al. ∙

research

∙ 09/19/2018

MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description

Learning visual feature representations for video analysis is a daunting...

Oliver Nina, et al. ∙

research

∙ 07/24/2020

Machine Learning Explanations to Prevent Overtrust in Fake News Detection

Combating fake news and misinformation propagation is a challenging task...

Sina Mohseni, et al. ∙

research

∙ 01/07/2022

Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra

Transit spectroscopy is a powerful tool to decode the chemical compositi...

Konstantin T. Matchev, et al. ∙

research

∙ 04/19/2022

A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation

Artificial intelligence (AI) and machine learning (ML) techniques have b...

David Selasi Koblah, et al. ∙

research

∙ 01/22/2019

An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations

Radial-basis-function networks are traditionally defined for sets of vec...

Isaac J. Sledge, et al. ∙

research

∙ 12/21/2020

Facebook Ad Engagement in the Russian Active Measures Campaign of 2016

This paper examines 3,517 Facebook ads created by Russia's Internet Rese...

Mirela Silva, et al. ∙

research

∙ 05/20/2021

Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles

This paper investigates whether computer usage profiles comprised of pro...

Luiz Giovanini, et al. ∙

research

∙ 03/22/2019

Comparison of Hand-held WEMI Target Detection Algorithms

Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a ...

Connor H. McCurley, et al. ∙

research

∙ 05/05/2020

Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition

Explainable machine learning and artificial intelligence models have bee...

Mahsan Nourani, et al. ∙

research

∙ 11/12/2021

Learning Interpretation with Explainable Knowledge Distillation

Knowledge Distillation (KD) has been considered as a key solution in mod...

Raed Alharbi, et al. ∙

research

∙ 11/09/2021

Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers

Recent deep learning research based on Transformer model architectures h...

Benjamin Shickel, et al. ∙

research

∙ 03/22/2019

Overcoming Small Minirhizotron Datasets Using Transfer Learning

Minirhizotron technology is widely used for studying the development of ...

Weihuang Xu, et al. ∙

research

∙ 04/30/2019

Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator

Sensors which use electromagnetic induction (EMI) to excite a response i...

James Bocinsky, et al. ∙

research

∙ 01/01/2020

Histogram Layers for Texture Analysis

We present a histogram layer for artificial neural networks (ANNs). An e...

Joshua Peeples, et al. ∙

research

∙ 07/22/2021

External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery

We propose a memory-based framework for real-time, data-efficient target...

Isaac J. Sledge, et al. ∙

research

∙ 01/04/2019

Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video

In Intelligent Transportation System, real-time systems that monitor and...

Xiaohui Huang, et al. ∙

research

∙ 07/24/2019

A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry

Iterative methods for tomographic image reconstruction have great potent...

Kai Zhang, et al. ∙

research

∙ 06/27/2019

Tuning-Free Disentanglement via Projection

In representation learning and non-linear dimension reduction, there is ...

Yue Bai, et al. ∙

research

∙ 07/30/2020

Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM

We present a multiple instance learning class activation map (MIL-CAM) a...

Guohao Yu, et al. ∙

research

∙ 03/18/2021

SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation

Video instance segmentation (VIS) is a new and critical task in computer...

Dongfang Liu, et al. ∙

research

∙ 10/05/2021

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation

The diversity of retinal imaging devices poses a significant challenge: ...

Peng Liu, et al. ∙

research

∙ 09/29/2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy

In this paper, we propose a single-agent Monte Carlo based reinforced fe...

Kunpeng Liu, et al. ∙

research

∙ 01/20/2022

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

Understanding a plant's root system architecture (RSA) is crucial for a ...

Weihuang Xu, et al. ∙

research

∙ 03/25/2020

A Unified Framework for Multiclass and Multilabel Support Vector Machines

We propose a novel integrated formulation for multiclass and multilabel ...

Hoda Shajari, et al. ∙

research

∙ 02/17/2022

FPIC: A Novel Semantic Dataset for Optical PCB Assurance

The continued outsourcing of printed circuit board (PCB) fabrication to ...

Nathan Jessurun, et al. ∙

research

∙ 05/11/2012

Detectability of Symbol Manipulation by an Amplify-and-Forward Relay

This paper studies the problem of detecting a potential malicious relay ...

Eric Graves, et al. ∙

research

∙ 02/01/2013

A coding approach to guarantee information integrity against a Byzantine relay

This paper presents a random coding scheme with which two nodes can exch...

Eric Graves, et al. ∙

research

∙ 04/25/2014

Equating the achievable exponent region to the achievable entropy region by partitioning the source

In this paper we investigate the image size characterization problem. We...

Eric Graves, et al. ∙

research

∙ 12/02/2015

Equal-image-size source partitioning: Creating strong Fano's inequalities for multi-terminal discrete memoryless channels

This paper introduces equal-image-size source partitioning, a new tool f...

Eric Graves, et al. ∙

research

∙ 09/29/2016

Keyless authentication in the presence of a simultaneously transmitting adversary

If Alice must communicate with Bob over a channel shared with the advers...

Eric Graves, et al. ∙

research

∙ 01/25/2017

Wiretap channel capacity: Secrecy criteria, strong converse, and phase change

This paper employs equal-image-size source partitioning techniques to de...

Eric Graves, et al. ∙

research

∙ 12/05/2017

Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning

Facial pain expression is an important modality for assessing pain, espe...

Zhanli Chen, et al. ∙

research

∙ 10/31/2017

Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection

The Multiple Instance Hybrid Estimator for discriminative target charact...

Changzhe Jiao, et al. ∙

research

∙ 10/11/2017

Quantized Minimum Error Entropy Criterion

Comparing with traditional learning criteria, such as mean square error ...

Badong Chen, et al. ∙

research

∙ 09/29/2017

A Gaussian mixture model representation of endmember variability in hyperspectral unmixing

Hyperspectral unmixing while considering endmember variability is usuall...

Yuan Zhou, et al. ∙

research

∙ 09/28/2017

Possibilistic Fuzzy Local Information C-Means for Sonar Image Segmentation

Side-look synthetic aperture sonar (SAS) can produce very high quality i...

Alina Zare, et al. ∙

research

∙ 09/26/2017

Tensor Product Generation Networks

We present a new tensor product generation network (TPGN) that generates...

Qiuyuan Huang, et al. ∙

research

∙ 07/25/2017

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing

In a streaming environment, there is often a need for statistical predic...

Shujian Yu, et al. ∙

research

∙ 11/17/2015

Identifying the Absorption Bump with Deep Learning

The pervasive interstellar dust grains provide significant insights to u...

Min Li, et al. ∙

research

∙ 08/24/2017

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

The fast growing deep learning technologies have become the main solutio...

Zizhao Zhang, et al. ∙

research

∙ 10/09/2015

Large-scale Artificial Neural Network: MapReduce-based Deep Learning

Faced with continuously increasing scale of data, original back-propagat...

Kairan Sun, et al. ∙

research

∙ 06/11/2017

Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms

A multiple instance dictionary learning approach, Dictionary Learning us...

Changzhe Jiao, et al. ∙

research

∙ 02/28/2015

Sensitivity Analysis for additive STDP rule

Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic lear...

Subhajit Sengupta, et al. ∙

research

∙ 07/28/2017

Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising

In this work, we explore an innovative strategy for image denoising by u...

Peng Liu, et al. ∙

research

∙ 07/17/2017

Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior

We explore an innovative strategy for image denoising by using convoluti...

Peng Liu, et al. ∙

research

∙ 12/09/2016

DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning

Transcriptional profiling on microarrays to obtain gene expressions has ...

Rajendra Rana Bhat, et al. ∙

research

∙ 07/08/2017

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

The inability to interpret the model prediction in semantically and visu...

Zizhao Zhang, et al. ∙

research

∙ 03/23/2017

Robustness of Maximum Correntropy Estimation Against Large Outliers

The maximum correntropy criterion (MCC) has recently been successfully a...

Badong Chen, et al. ∙

University of Florida

Featured Researchers