Breton Minnehan

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 11

Top Topics

Principal Component Analysis

Feature Representation

Linear Discriminant

Top Venues

IEEE Signal Process. Lett.

Publications

Abu Md Niamul Taufique, Breton Minnehan, Andreas E. Savakis
Benchmarking Deep Trackers on Aerial Videos. CoRR (2021)
Navya Nagananda, Abu Md Niamul Taufique, Raaga Madappa, Chowdhury Sadman Jahan, Breton Minnehan, Todd V. Rovito, Andreas E. Savakis
Benchmarking Domain Adaptation Methods on Aerial Datasets. Sensors 21 (23) (2021)
Navya Nagananda, Breton Minnehan, Andreas E. Savakis
Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. CoRR (2021)
Abu Md Niamul Taufique, Breton Minnehan, Andreas E. Savakis
Benchmarking Deep Trackers on Aerial Videos. Sensors 20 (2) (2020)
Breton Minnehan, Andreas E. Savakis
-Norm Principal Component Analysis. IEEE Signal Process. Lett. 26 (2) (2019)
Breton Minnehan, Andreas E. Savakis
Cascaded Projection: End-to-End Network Compression and Acceleration. CoRR (2019)
Breton Minnehan, Andreas E. Savakis
Cascaded Projection: End-To-End Network Compression and Acceleration. CVPR (2019)
Breton Minnehan, Andreas E. Savakis
Deep domain adaptation with manifold aligned label transfer. Mach. Vis. Appl. 30 (3) (2019)
Breton Minnehan, Andreas E. Savakis
DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. CoRR (2018)
Breton Minnehan, Andreas E. Savakis
Learning Robust Feature Representations in Deep Networks for Image Classification. MIXDES (2018)
Breton Minnehan, Andreas E. Savakis
Manifold Guided Label Transfer for Deep Domain Adaptation. CVPR Workshops (2017)
Breton Minnehan, Henry Spang, Andreas E. Savakis
Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. ISVC (1) (2014)