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Conference Paper
J. T. Turner, Gupta, K., and Aha, D. W., “Keypoint density-based region proposal for fine-grained object detection and classification using regions with convolutional neural network features”, in 2016 Applied Imagery Pattern Recognition (AIPR) Workshop, Washington, DC, 2016.PDF icon Download PDF (3.47 MB)
J. T. Turner, Gupta, K., and Aha, D. W., “SPARCNN: Spatially related convolutional neural networks”, in 2016 Applied Imagery Pattern Recognition (AIPR) Workshop, Washington, DC, 2016.PDF icon Download PDF (1.18 MB)
Conference Proceedings
M. W. Floyd, Turner, J. T., and Aha, D. W., “Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study”, 2017 AAAI Spring Symposium on Learning on Observing Humans. Stanford, CA, 2017.PDF icon Download PDF (492.34 KB)
M. W. Floyd, Turner, J. T., and Aha, D. W., “Using Deep Learning to Automate Feature Modeling in Learning by Observation”, 2017 Florida AI Research Society (FLAIRS) Conference. Marco Island, FL, 2017.PDF icon Download PDF (514.5 KB)
Report
J. T. Turner, Aha, D., Smith, L., and Gupta, K. Moy, “Convolutional Architecture Exploration for Action Recognition and Image Classification”, 2015.PDF icon Download PDF (240.98 KB)
J. T. Turner, Gupta, K., Morris, B., and Aha, D. W., “Keypoint Density-based Region Proposal for Fine-Grained Object Detection using Regions with Convolutional Neural Network Features”, 2015.PDF icon Download PDF (324.45 KB)