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2020 – today
- 2020
[c18]Jonas Krause
, Kyungim Baek, Lipyeow Lim:
Expanding CNN-Based Plant Phenotyping Systems to Larger Environments. ECCV Workshops (6) 2020: 418-432- [c17]Richard Carney, Monique Chyba, Chris Gray, Julian Pereda, Elizabeth Swantek, Alan Tong, Kyungim Baek, William Koch, Guylaine Poisson, Ryan Perroy, Timothy Sullivan, Charlie Tommy, Norman Lay, Kamal Oudrihi:
Increasing Small Unmanned Aerial System Real-Time Autonomy. IGARSS 2020: 6592-6595 - [c16]Tetsuya Idota, Kyungim Baek:
Conservative Data Exchange for Decentralized Cooperative Localization. UR 2020: 472-478
2010 – 2019
- 2019
- [c15]Jonas Krause, Kyungim Baek, Lipyeow Lim:
A Guided Multi-Scale Categorization of Plant Species in Natural Images. CVPR Workshops 2019: 2639-2647 - 2018
- [c14]Jonas Krause, Gavin Sugita, Kyungim Baek, Lipyeow Lim:
What's That Plant? WTPlant is a Deep Learning System to Identify Plants in Natural Images. BMVC 2018: 330 - [c13]Jonas Krause, Gavin Sugita, Kyungim Baek, Lipyeow Lim:
WTPlant (What's That Plant?): A Deep Learning System for Identifying Plants in Natural Images. ICMR 2018: 517-520 - 2015
- [j5]Aurélie Hurault, Kyungim Baek, Henri Casanova:
Selecting linear algebra kernel composition using response time prediction. Softw. Pract. Exp. 45(12): 1659-1676 (2015) - 2014
- [c12]Michael Claveria, Kyungim Baek:
Analyzing Traffic Density in Images with Low Temporal and Spatial Resolution. IVCNZ 2014: 148 - 2012
- [c11]Mark Menor, Guylaine Poisson, Kyungim Baek:
Probabilistic prediction of protein phosphorylation sites using kernel machines. SAC 2012: 1393-1398 - 2011
- [c10]Mark Menor, Kyungim Baek:
Relevance units machine for classification. BMEI 2011: 2295-2299 - [c9]Mahdi Belcaid, Kyungim Baek, David Haymer, Guylaine Poisson:
Efficient clustering of populations using a minimal SNP panel. SAC 2011: 83-88 - 2010
- [c8]Mark Menor, Kyungim Baek, Mahdi Belcaid, Yannick Gingras, Guylaine Poisson:
Virus DNA-fragment classification using taxonomic hidden Markov model profiles. SAC 2010: 1567-1571
2000 – 2009
- 2005
- [j4]Bruce A. Draper, Daniel L. Elliott, Jeremy Hayes, Kyungim Baek:
EM in high-dimensional spaces. IEEE Trans. Syst. Man Cybern. Part B 35(3): 571-577 (2005) - 2004
- [j3]Bruce A. Draper, Kyungim Baek, Jeff Boody:
Implementing the expert object recognition pathway. Mach. Vis. Appl. 16(1): 27-32 (2004) - [j2]Paul Sajda, Kyungim Baek:
Integration of form and motion within a generative model of visual cortex. Neural Networks 17(5-6): 809-821 (2004) - 2003
- [j1]Bruce A. Draper, Kyungim Baek, Marian Stewart Bartlett, J. Ross Beveridge:
Recognizing faces with PCA and ICA. Comput. Vis. Image Underst. 91(1-2): 115-137 (2003) - [c7]Bruce A. Draper, Kyungim Baek, Jeff Boody:
Implementing the Expert Object Recognition Pathway. ICVS 2003: 1-11 - 2002
- [c6]Kyungim Baek, Bruce A. Draper:
Factor Analysis or Background Suppression. ICPR (2) 2002: 643-646 - [c5]Kyungim Baek, Bruce A. Draper, J. Ross Beveridge, Kai She:
PCA vs. ICA: A Comparison on the FERET Data Set. JCIS 2002: 824-827 - [c4]Bruce A. Draper, Kyungim Baek, Jeff Boody:
A Biologically Plausible Approach to Cat and Dog Discrimination. SSPR/SPR 2002: 779-788 - 2000
- [c3]Bruce A. Draper, Kyungim Baek:
Unsupervised Learning of Biologically Plausible Object Recognition Strategies. Biologically Motivated Computer Vision 2000: 238-247
1990 – 1999
- 1999
- [c2]Bruce A. Draper, José Bins, Kyungim Baek:
ADORE: Adaptive Object Recognition. ICVS 1999: 522-537 - 1998
- [c1]Bruce A. Draper, Kyungim Baek:
Bagging in Computer Vision. CVPR 1998: 144-149
Coauthor Index
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