3 citations · 8 across the 5 of their papers we have counts for
5 papers
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Joshua Peeples, Connor McCurley, Sarah Walker +2
In this work, we propose a new loss to improve feature discriminability and classification performance. Motivated by the adaptive cosine/coherence estimator (ACE), our proposed met…
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,…
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
Susan Meerdink, James Bocinsky, Alina Zare +4
In remote sensing, it is often challenging to acquire or collect a large dataset that is accurately labeled. This difficulty is usually due to several issues, including but not lim…
Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
James Bocinsky, Connor McCurley, Daniel Shats +1
Sensors which use electromagnetic induction (EMI) to excite a response in conducting bodies have long been investigated for subsurface explosive hazard detection. In particular, EM…
Comparison of Hand-held WEMI Target Detection Algorithms
Connor H. McCurley, James Bocinsky, Alina Zare
Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a number of years in subsurface detection of explosive hazards. While WEMI sensors have proven effective at lo…