Sort by: Author Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Y

Yang, X., and D. A. Clausi, "SAR sea ice image segmentation using an edge-preserving region-based MRF", 16th IEEE International Conference on Image Processing (ICIP), 11/2009. PDF icon sar_sea_ice_image_segmentation_using_an_edge-preserving_region-based_mrf.pdf (201.64 KB)
Yang, X., and D. A. Clausi, "SAR sea ice image segmentation using an edge-preserving region-based MRF", 2009 16th IEEE International Conference on Image Processing (ICIP): IEEE, pp. 1721–1724, 2009.
Yang, X., and D. A. Clausi, "Structure-preserving speckle reduction of SAR images using nonlocal means filters", 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 11/2009. PDF icon structure-preserving_speckle_reduction_of_sar_images_using_nonlocal_means_filters.pdf (326.95 KB)
Yang, X., and D. A. Clausi, "Structure-preserving speckle reduction of SAR images using nonlocal means filters", 2009 16th IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2985–2988, 2009.
Yang, X., and D. A. Clausi, "SAR sea ice image segmentation based on edge-preserving watersheds", 4th Annual Canadian Conference on Computer and Robot Vision, Montreal, Quebec, Canada, 05/2007. PDF icon sar_sea_ice_image_segmentation_based_on_edge-preserving_watersheds.pdf (1.19 MB)
Yang, X., and D. A. Clausi, "SAR sea ice image segmentation based on edge-preserving watersheds", Fourth Canadian Conference on Computer and Robot Vision (CRV'07): IEEE, pp. 426–431, 2007.
Yang, L., L. Xu, J. Peng, Y. Song, A. Wong, and D. A. Clausi, "Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising", IEEE Transactions on Geoscience and Remote Sensing: IEEE, 2020.
Yang, X., and D. A. Clausi, "Evaluating SAR sea ice image segmentation using edge-preserving region-based MRFs", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 5: IEEE, pp. 1383–1393, 2012.
Yang, X., and D. A. Clausi, "Evaluating SAR sea ice image segmentation using edge-preserving region-based MRFs.", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 5, issue 5, pp. 1383-1393, 2012. PDF icon r3-evaluating_sar_sea_ice_image_segmentation.pdf (972.23 KB)
Yasmin, A., P. Fieguth, and L. Deng, "Speech enhancement using voice source models", 25th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1999. PDF icon speech_enhancement_using_voice_source_models.pdf (1.14 MB)
Yasmin, A., P. Fieguth, and L. Deng, "Speech enhancement using voice source models", 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No. 99CH36258), vol. 2: IEEE, pp. 797–800, 1999.
Yasmin, A., P. Fieguth, and L. Deng, "Evaluation of quality of speech enhanced by HMM and AR model-based systems", The Journal of the Acoustical Society of America, vol. 106, pp. 2181-2181, 1999. PDF icon evaluation_of_quality_of_speech_enhanced_by_hmm_and_ar_model-based_systems.pdf (467.74 KB)
Yasmin, A., P. Fieguth, and L. Deng, "Evaluation of quality of speech enhanced by HMM and AR model-based systems", The Journal of the Acoustical Society of America, vol. 106, no. 4: Acoustical Society of America, pp. 2181–2181, 1999.
Yazici, D., BD. White, P-C. Ho, N. Kanchanavatee, K. Huang, AJ. Friedman, AS. Wong, VW. Burnett, NR. Dilley, and MB. Maple, "Investigation of magnetic order in Sm T r 2 Zn 20 (T r= Fe, Co, Ru) and Sm T r 2 Cd 20 (T r= Ni, Pd)", Physical Review B, vol. 90, no. 14: American Physical Society, pp. 144406, 2014.
Yee, C., A. Wong, M. Ng, S. MAK, H. Cheung, and S. Hou, "ENERGY DELIVERY REGARDING PROSTATE VOLUME IN GREEN LIGHT LASER (KTP, 120-W) VAPORISATION OF THE PROSTATE", JOURNAL OF ENDOUROLOGY, vol. 23: MARY ANN LIEBERT INC 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA, pp. A265–A266, 2009.
Yeow, J., I. Ben Daya, ALBERT. I. CHEN, M. Javad Shafiee, A. Wong, and others, Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model: PLOS, 2015.
Younes, G., D. Asmar, and J. Zelek, "Robustifying Direct VO to Large Baseline Motions", International Joint Conference on Computer Vision, Imaging and Computer Graphics: Springer, Cham, pp. 477–496, 2019.
Younes, G., D. Asmar, and J. Zelek, "A unified formulation for visual odometry", arXiv preprint arXiv:1903.04253, 2019.
Younes, G., D. Asmar, and J. Zelek, "FDMO: feature assisted direct monocular odometry", arXiv preprint arXiv:1804.05422, 2018.
Younes, G., D. Asmar, E. Shammas, and J. Zelek, "Keyframe-based monocular SLAM: design, survey, and future directions", Robotics and Autonomous Systems, vol. 98: North-Holland, pp. 67–88, 2017.
Younes, G., D. Asmar, J. Zelek, D. Abou Chacra, H. Leopold, J. Pinto, and N. Lunscher, "Scaled Monocular Visual SLAM", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Younger, J., J. Raboud, L. Szadkowski, R. Harrigan, S. Walmsley, A. M. Bayoumi, M. B. Klein, C. Cooper, A. N. Burchell, M. Loutfy, et al., "Tenofovir and emtricitabine resistance among antiretroviral-naive patients in the Canadian Observational Cohort Collaboration: implications for PrEP", Antiviral therapy, vol. 24, no. 3, pp. 211–220, 2019.
Yousefi, M., M. Famouri, B. Nasihatkon, Z. Azimifar, and P. Fieguth, "A robust probabilistic Braille recognition system", International Journal of Document Analysis and Recognition, vol. 15, pp. 253 - 266, 2012. PDF icon nasihatkon_a_robust_probabilistic_braille_recognition_system_2011.pdf (1 MB)
Yousefi, M., M. Famouri, B. Nasihatkon, Z. Azimifar, and P. Fieguth, "A robust probabilistic Braille recognition system", International Journal on Document Analysis and Recognition (IJDAR), vol. 15, no. 3: Springer-Verlag, pp. 253–266, 2012.
Yousuf, A., A. Wong, and D. Edens, "Remote Circuit Design Labs with Analog Discovery", Proceedings of the ASEE Annual Conference, pp. 23–26, 2013.
Yousuf, R., F. Newland, and T. Kirubarajan, "Satellite Orbit Determination using Ground-based Navigation Data", European Navigation Conference, London, UK, ENC 2011, 2011. PDF icon yousuf_et_al.written_paper_enc2011.pdf (1.26 MB)
Yu, P., D. A. Clausi, R. De Abreu, and T. Agnew, "Combining AMSR-E and QuikSCAT image data to improve sea ice classification", 5th Workshop on Pattern Recognition for Remote Sensing, Tampa, Florida, USA, 12/2008. PDF icon combining_amsr-e_and_quikscat_image_data_to_improve_sea_ice_classification.pdf (144.53 KB)
Yu, P., D. A. Clausi, R. De Abreu, and T. Agnew, "Combining AMSR-E and QuikSCAT image data to improve sea ice classification", 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008): IEEE, pp. 1–4, 2008.
Yu, Q., and D. A. Clausi, "Filament preserving segmentation for SAR sea ice imagery using a new statistical model", 18th International Conference on Pattern Recognition (ICPR), Hong Kong, 08/2006. PDF icon filament_preserving_segmentation_for_sar_sea-ice_imagery_using_a_new_statistical_model.pdf (654.24 KB)
Yu, Q., and D. A. Clausi, "Filament preserving segmentation for SAR sea ice imagery using a new statistical model", 18th International Conference on Pattern Recognition (ICPR'06), vol. 4: IEEE, pp. 849–852, 2006.
Yu, Q., and D. A. Clausi, "Joint image segmentation and interpretation using iterative semantic region growing on SAR sea ice imagery", 18th International Conference on Pattern Recognition (ICPR'06), vol. 2: IEEE, pp. 223–226, 2006.
Yu, Q., and D. A. Clausi, "Combining local and global features for image segmentation using iterative classification and region merging", The 2nd Canadian Conference on Computer and Robot Vision (CRV'05): IEEE, pp. 579–586, 2005.
Yu, B., L. Xu, J-huan. Peng, Z. Hu, and A. Wong, "Global chlorophyll-a concentration estimation from moderate resolution imaging spectroradiometer using convolutional neural networks", Journal of Applied Remote Sensing, vol. 14, no. 3: International Society for Optics and Photonics, pp. 034520, 2020.
Yu, P., AK. Qin, and D. A. Clausi, "Feature extraction of dual-pol SAR imagery for sea ice image segmentation", Canadian Journal of Remote Sensing, vol. 38, no. 3: Taylor & Francis, pp. 352–366, 2012.
Yu, P., K. Qin, and D. A. Clausi, "Feature extraction of dual-pol SAR imagery for sea ice image segmentation.", Canadian Journal of Remote Sensing, vol. 38, issue 3, pp. 352-366, 2012.
Yu, P., K. A Qin, and D. A. Clausi, "Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty", IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 4: IEEE, pp. 1302–1317, 2011.
Yu, P., D. A. Clausi, and S. Howell, "Fusing AMSR-E and QuikSCAT imagery for improved sea ice recognition", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, pp. 1980 - 1989, 2010. PDF icon fusing_amsr-e_and_quikscat_imagery_for_improved_sea_ice_recognition.pdf (1.96 MB)
Yu, P., D. A. Clausi, and S. E. L. Howell, "Fusing AMSR-E and QuikSCAT imagery for improved sea ice recognition", IEEE transactions on geoscience and remote sensing, vol. 47, no. 7: IEEE, pp. 1980–1989, 2009.
Yu, Q., and D. A. Clausi, "IRGS: Image segmentation using edge penalties and region growing", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 2126 - 2139, 2008. PDF icon image_segmentation_using_edge_penalties_and_region_growing.pdf (5.14 MB)
Yu, Q., and D. A. Clausi, "IRGS: Image segmentation using edge penalties and region growing", IEEE transactions on pattern analysis and machine intelligence, vol. 30, no. 12: IEEE, pp. 2126–2139, 2008.
Yu, Q., and D. A. Clausi, "SAR sea-ice image analysis based on iterative region growing using semantics", IEEE Transactions on Geoscience and Remote Sensing, vol. 45, pp. 3919 - 3931, 2007. PDF icon sar_sea-ice_image_analysis_based_on_iterative_region_growing_using_semantics.pdf (1.23 MB)
Yu, Q., and D. A. Clausi, "SAR sea-ice image analysis based on iterative region growing using semantics", IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 12: IEEE, pp. 3919–3931, 2007.
Yu, Q., and D. A. Clausi, "Filament preserving model (FPM) segmentation applied to SAR sea-ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 44, pp. 3687 - 3694, 2006. PDF icon filament_preserving_model_segmentation_applied_to_sar_sea-ice_imagery.pdf (654.24 KB)
Yu, Q., and D. A. Clausi, "Filament preserving model (FPM) segmentation applied to SAR sea-ice imagery", IEEE transactions on geoscience and remote sensing, vol. 44, no. 12: IEEE, pp. 3687–3694, 2006.
Yu, P., "Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery", Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2009. PDF icon segmentation_of_radarsat-2_dual-polarization_sea_ice_imagery.pdf (12.29 MB)
Yu, Q., "Automated SAR Sea Ice Interpretation", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2006. PDF icon automated_sar_sea_ice_interpretation.pdf (16.03 MB)
Yue, B., and D. A. Clausi, "Sea ice segmentation using Markov random fields", IEEE Geoscience and Remote Sensing Symposium, 2001. PDF icon sar_sea_ice_image_segmentation_using_markov_random_fields.pdf (417.33 KB)
Yue, B., and DA. Clausi, "Sea ice segmentation using Markov random fields", IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No. 01CH37217), vol. 4: IEEE, pp. 1877–1879, 2001.
Yue, B., "SAR Sea Ice Recognition Using Texture Methods", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2001. PDF icon sar_sea_ice_recognition_using_texture_methods_0.pdf (2.68 MB)

Publications search