Latest Posts
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Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Publication summary and links for Learnable Adaptive Cosine Estimator (LACE) for Image Classification
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Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
Publication summary and links for Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification.
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Superpixel Segmentation and Texture Feature Learning for Multi-Aspect Underwater Scene Understanding
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Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
Publication summary and links for Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
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Vice President of Scholarship
Colton and Connor McCurley at the Sigma Phi Epsilon Fraternity house at Missouri University of Science and Technology, Rolla, MO. -
Supervised Teaching
Figure 1: Connor McCurley lecturing on Eigen-decomposition to a graduate-level machine learning class at the University of Florida, Fall 2018. -
Graduate School Student of the Week
Connor McCurley was named Graduate Student of the Week!
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Presentation at SPIE Defense + Commercial Sensing 2019
We presented at SPIE 2019 in Baltimore, MA!
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Nelms IoT Conference Presentation
Figure 1: Sheng Zou and Connor McCurley at the 2019 Nelms IoT conference. -
Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
Publication summary and links for Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
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Presentation at Institute for Defense Analyses 2018
We presented at the Institute for Defense Analyses in Alexandria, VA!
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Gatorsense Labmates help GatorTRAX
We taught K-12 students about Machine Learning and Remote Sensing!
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Developing Spectral Libraries Using Multiple Target Multiple Instance Adaptive CosineCoherence Estimator
Publication summary and links for Developing Spectral Libraries Using Multiple Target Multiple Instance Adaptive CosineCoherence Estimator
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Comparison of Hand-held WEMI Target Detection Algorithms
Publication summary and links for Comparison of Hand-held WEMI Target Detection Algorithms
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Aided Target Recognition using Imprecise and Uncertain Data
Figure 1: Two targets from the DSIAC MS-003-DB dataset. Canonical bounding boxes are shown in green while imprecise, "relaxed" bounding boxes are shown in blue. Red dots denote the centers of the targets. -
Multi-Sensor Fusion for Buried Object Detection
Figure 1: Partially-buried explosive hazard. -
Website coming soon!
I am excited to announce that my personal website will be up soon! This is where I’ll post about my research, my projects, and myself.