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2010 – 2019
- 2019
[c12]Ahsen J. Uppal, Michael Hegarty, William Haftel, Phil A. Sallee, H. Brown Cribbs, H. Howie Huang:
High-Performance Deep Learning Classification for Radio Signals. ACSSC 2019: 1026-1029- [c11]James F. Mullen Jr., Franklin R. Tanner, Phil A. Sallee:
Comparing the Effects of Annotation Type on Machine Learning Detection Performance. CVPR Workshops 2019: 855-861 - 2017
- [c10]Steven A. Israel, J. H. Goldstein, Jeffrey S. Klein, James Talamonti, Franklin Tanner, Shane Zabel, Philip A. Sallee, Lisa McCoy:
Generative Adversarial Networks for Classification. AIPR 2017: 1-4 - 2010
- [c9]David Ober, Shawn Neugebauer, Phil Sallee:
Training and feature-reduction techniques for human identification using anthropometry. BTAS 2010: 1-8
2000 – 2009
- 2009
- [c8]Franklin Tanner, Brian Colder, Craig Pullen, David Heagy, M. Eppolito, Veronica Carlan, Carsten Oertel, Phil Sallee:
Overhead imagery research data set - an annotated data library & tools to aid in the development of computer vision algorithms. AIPR 2009: 1-8 - 2008
- [c7]Carsten Oertel, Brian Colder, Jeffrey B. Colombe, Julia High, Michael Ingram, Phil Sallee:
Current challenges in automating visual perception. AIPR 2008: 1-8 - [c6]Veeraraghavan Vijayaraj, Anil M. Cheriyadat, Phil Sallee, Brian Colder, Ranga Raju Vatsavai, Eddie A. Bright, Budhendra L. Bhaduri:
Overhead image statistics. AIPR 2008: 1-8 - 2007
- [e1]Jan Camenisch, Christian S. Collberg, Neil F. Johnson, Phil Sallee:
Information Hiding, 8th International Workshop, IH 2006, Alexandria, VA, USA, July 10-12, 2006. Revised Selcted Papers. Lecture Notes in Computer Science 4437, Springer 2007, ISBN 978-3-540-74123-7 [contents] - 2005
- [j1]Phil Sallee:
Model-Based Methods For Steganography And Steganalysis. Int. J. Image Graph. 5(1): 167-190 (2005) - 2003
- [c5]Phil Sallee, Bruno A. Olshausen:
Image denoising using learned overcomplete representations. ICIP (3) 2003: 381-384 - [c4]Phil Sallee:
Model-Based Steganography. IWDW 2003: 154-167 - 2002
- [c3]Phil Sallee, Bruno A. Olshausen:
Learning Sparse Multiscale Image Representations. NIPS 2002: 1327-1334 - 2000
- [c2]Michael Haungs, Phil Sallee, Matthew K. Farrens:
Branch Transition Rate: A New Metric for Improved Branch Classification Analysis. HPCA 2000: 241-250 - [c1]Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki:
Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS 2000: 887-893
Coauthor Index
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last updated on 2024-04-25 02:13 CEST by the dblp team
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