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Babadi, M., B. Mashiatkon, Z. Azimifar, and P. Fieguth, "Probabilistic Estimation of Braille Document Parameters", ICIP, 2009.
Babadi, M. Yoosefi, B. Nasihatkon, Z. Azimifar, and P. Fieguth, "Probabilistic estimation of Braille document parameters", 2009 16th IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2001–2004, 2009.
Bachl, F., P. Fieguth, and C. Garbe, "BAYESIAN INFERENCE ON INTEGRATED CONTINUITY FLUID FLOWS AND THEIR APPLICATION TO DUST AEROSOLS", IGARSS, Melbourne, 2013.
Bachl, F. E., C. S. Garbe, and P. Fieguth, "Bayesian inference on integrated continuity fluid flows and their application to dust aerosols", 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS: IEEE, pp. 2246–2249, 2013.
Bachl, F. E., C. S. Garbe, and P. Fieguth, "A bayesian approach to spaceborn hyperspectral optical flow estimation on dust aerosols", 2012 IEEE International Geoscience and Remote Sensing Symposium: IEEE, pp. 256–259, 2012.
Bachl, F., P. Fieguth, and C. Garbe, "CLASSIFYING AND TRACKING DUST PLUMES FROM PASSIVE REMOTE SENSING", IGARSS, Munich, 2012.
Bai, L., L. Jiang, H. Wang, and Q. Sun, "Spatiotemporal characterization of land subsidence and uplift (2009–2010) over wuhan in central china revealed by terrasar-X insar analysis", Remote Sensing, vol. 8, no. 4: Multidisciplinary Digital Publishing Institute, pp. 350, 2016.
Bandekar, N., A. Wong, and D. A. Clausi, "A novel approach to automated cell counting for studying human corneal epithelial cells", 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), 08/2011. PDF icon published_0.pdf (1.6 MB)Office presentation icon embc_namrata_alex_david_maud.ppt (1.53 MB)
Bandekar, N., A. Wong, D. Clausi, and M. Gorbet, "A novel approach to automated cell counting for studying human corneal epithelial cells", 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 5997–6000, 2011.
Bandekar, N., "Illumination and Noise-Based Scene Classification - Application to SAR Sea Ice Imagery", Department of Systems Design Engineering, Waterloo, ON, Canada, University of Waterloo, pp. 77, 2012. PDF icon namratabandekarmascthesis.pdf (4.41 MB)Package icon images.zip (7.52 MB)
Banijamali, E., A-H. Karimi, A. Wong, and A. Ghodsi, "Jade: Joint autoencoders for dis-entanglement", arXiv preprint arXiv:1711.09163, 2017.
Barritt, N., M. Kuppuswamy Parthasarathy, I. Faruq, J. Zelek, and V. Lakshminarayanan, "Fundus camera versus smartphone camera attachment: image quality analysis", Current Developments in Lens Design and Optical Engineering XX, vol. 11104: International Society for Optics and Photonics, pp. 111040A, 2019.
Barshan, E., M. Lamm, C. Scharfenberger, and P. Fieguth, "35.3: Resolution enhancement based on shifted superposition", SID Symposium Digest of Technical Papers, vol. 46, no. 1, pp. 514–517, 2015.
Barshan, E., C. Scharfenberger, M. Lamm, and P. Fieguth, "Resolution Enhancement Based on Shifted Superposition", Society for Information Display's Week 2015, 06/2015.
Barshan, E., P. Fieguth, and A. Wong, "Scalable multi-neighborhood learning for convolutional networks", 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015.
Barshan, E., P. Fieguth, and A. Wong, "Scalable multi-neighborhood learning for convolutional networks", 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP): IEEE, pp. 1–6, 2015.
Barshan, E., and P. Fieguth, "Stage-wise training: An improved feature learning strategy for deep models", Feature Extraction: Modern Questions and Challenges, pp. 49–59, 2015.
Barshan, E., and P. Fieguth, "Scalable Learning for Restricted Boltzmann Machines", IEEE Conference on Image Processing, 2014. PDF icon eigenrbm_camera_ready.pdf (755.18 KB)PDF icon scalable_learning_for_restricted_boltzmann_machines.pdf (1.39 MB)
Barshan, E., and P. Fieguth, "Scalable learning for restricted boltzmann machines", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2754–2758, 2014.
Barshan, E., P. Fieguth, and A. Wong, "Multi-Neighborhood Convolutional Networks", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Barshan, E., and P. Fieguth, "Stage-wise training: an improved feature learning strategy for deep models", Journal of Machine Learning Research, 2015.
Beckerman, B., and A. Wong, Pour spout, sep # " 17", 2019.
US Patent App. 29/609,147
Bello-Cerezo, R., P. Fieguth, and F. Bianconi, "LBP-motivated colour texture classification", Proceedings of the European Conference on Computer Vision (ECCV), pp. 0–0, 2018.
Beltrame, T., R. Amelard, A. Wong, and R. L. Hughson, "Emerging Wearable Physiological Monitoring Technologies & Decision Aids for Health & Performance: Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models", Journal of Applied Physiology, vol. 124, no. 2: American Physiological Society, pp. 473, 2018.
Beltrame, T., R. Amelard, A. Wong, and R. L. Hughson, "Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models", Journal of Applied Physiology, vol. 124, no. 2: American Physiological Society Bethesda, MD, pp. 473–481, 2018.
Beltrame, T., R. Amelard, A. Wong, and R. L. Hughson, "Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living", Scientific reports, vol. 7, no. 1: Nature Publishing Group, pp. 1–8, 2017.
Beltrame, T., R. Amelard, R. Villar, M. J. Shafiee, A. Wong, and R. L. Hughson, "Estimating oxygen uptake and energy expenditure during treadmill walking by neural network analysis of easy-to-obtain inputs", Journal of Applied Physiology, vol. 121, no. 5: American Physiological Society Bethesda, MD, pp. 1226–1233, 2016.
Ben Daya, D. Kumarl Ibr, K. Vats, J. Feng, G. Taylor, and A. Wong, "Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 16–19, 2019.
Ben Daya, I., J. T. W. Yeow, and A. Wong, "Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 429–441, 2019.
Ben Daya, I., M. Javad Shafiee, M. Karg, C. Scharfenberger, and A. Wong, "SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.", CVPR Workshops, pp. 95–98, 2019.
Ben Daya, I., M. Javad Shafiee, M. Karg, C. Scharfenberger, and A. Wong, "SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles.", CVPR Workshops, pp. 103–111, 2019.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, A. Wong, and J. T. W. Yeow, "Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields", International Conference Image Analysis and Recognition: Springer, Cham, pp. 107–116, 2017.
Ben Daya, I., M. Javad Shaifee, M. Karg, C. Scharfenderger, and A. Wong, "On Robustness of deep neural networks: a comprehensive study on the effect of architecture and weight initialization to susceptibility and transferability of adversarial attacks", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, J. T. W. Yeow, and A. Wong, "Compensated Row-Column Ultrasound Imaging System Using Edge-Guided Three Dimensional Random Fields", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, A. Wong, and J. T. W. Yeow, "Compensated row-column ultrasound imaging system using multilayered edge guided stochastically fully connected random fields", Scientific reports, vol. 7, no. 1: Nature Publishing Group, pp. 1–18, 2017.
Ben Daya, I., M. Noguchi, J. P. Callaghan, and A. Wong, Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus: Kitchener-Waterloo Vision and Imaging Society, 2016.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, A. Wong, and J. T. W. Yeow, "Compensated row-column ultrasound imaging system using fisher tippett multilayered conditional random field model", PloS one, vol. 10, no. 12: Public Library of Science San Francisco, CA USA, pp. e0142817, 2015.
Bereg, S., B. Malouf, L. Morales, T. Stanley, H. I Sudborough, and A. Wong, "Equivalence Relations for Computing Permutation Polynomials", arXiv preprint arXiv:1911.12823, 2019.
Bernasconi, C., Y. Jeong-Ju, NM. MacDonald, and HR. Mendoza, "Culture and design: integrating cross-cultural and interdisciplinary experiences into design curricula", Design Principles and Practices, vol. 2, no. 1, pp. 161–72, 2008.
Bidart, R., and A. Wong, "Affine Variational Autoencoders", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 461–472, 2019.
Bidart, R., and A. Wong, "TriResNet: A Deep Triple-Stream Residual Network for Histopathology Grading", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 369–382, 2019.
Bidart, R., and A. Wong, "MonolithNet: Training monolithic deep neural networks via a partitioned training strategy", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Bing, C., G. Ke, A. Wong, and K. Crasta, Abstract B59: Autophagy mediates senescence and supports survival upon treatment with anti-mitotic drugs: American Association for Cancer Research, 2016.
Bizheva, K., C. Hyun, J. A. Eichel, S. Hariri, D. A. Clausi, P. Fieguth, T. Simpson, and N. Hutchings, "Evaluation of hypoxic swelling of human cornea with high speed ultrahigh resolution optical coherence tomography", SPIE BIOS (Biomedical Optics), San Jose, CA, USA, SPIE, 01/2009. PDF icon evaluation_of_hypoxic_swelling_of_human_cornea_with_high_speed_ultrahigh_resolution.pdf (405.43 KB)
Bizheva, K., C. Hyun, J. A. Eichel, S. Hariri, A. Mishra, D. A. Clausi, P. Fieguth, T. L. Simpson, and N. Hutchings, "Evaluation of hypoxic swelling of human cornea with high speed ultrahigh resolution optical coherence tomography", Ophthalmic Technologies XIX, vol. 7163: International Society for Optics and Photonics, pp. 71631G, 2009.
Bizheva, K. K., B. Tan, E. Mason, B. MacLellan, L. Haines, A. Boroomand, A. Wong, and L. Sorbara, "Structure and vasculature of the human corneo-scleral limbus as imaged in-vivo with sub-micrometer axial resolution OCT", Investigative Ophthalmology & Visual Science, vol. 57, no. 12: The Association for Research in Vision and Ophthalmology, pp. 436–436, 2016.
Bizheva, K. K., C. Hyun, A. Zam, C. Liu, A. Kumar, A. Wong, N. Hutchings, and T. Simpson, "In vivo Volumetric Imaging of the Vogt Palisades with Ultrahigh Resolution Optical Coherence Tomography", Investigative Ophthalmology & Visual Science, vol. 53, no. 14: The Association for Research in Vision and Ophthalmology, pp. 3078–3078, 2012.
Bizheva, K., A. Mishra, A. Wong, and D. A. Clausi, "Intra-retinal layer segmentation in optical coherence tomography images", Optics Express, vol. 17, pp. 23719–23728, 2009. PDF icon intra-retinal_layer_segmentation_in_optical_coherence_tomography_images.pdf (1.99 MB)
Blanchard, P., A. J. Wong, B. G Gunn, A. S. Garden, A. Mohamed, SR, D. I. Rosenthal, J. Crutison, R. Wu, X. Zhang, R. X Zhu, et al., "Toward a model-based patient selection strategy for proton therapy: external validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort", Radiotherapy and Oncology, vol. 121, no. 3: Elsevier, pp. 381–386, 2016.
Blanchard, P., AJ. Wong, GB. Gunn, AS. Garden, ASR. Mohamed, DI. Rosenthal, WH. Morrison, HD. Skinner, J. Phan, BM. Beadle, et al., "Toward a Model-Based Strategy for Patient Selection for Proton Therapy—External Validation of Normal Tissue Complication Probability Models on a Head and Neck Proton Cohort", International Journal of Radiation Oncology• Biology• Physics, vol. 96, no. 2: Elsevier, pp. S223, 2016.
Bond, R. R., M. Mulvenna, D. Finlay, A. Wong, A. Koene, R. Brisk, J. Boger, and T. Adel, "Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making", RoCHI 2019: International Conference on Human-Computer Interaction, 2019.
Bond, R., A. Koene, A. Dix, J. Boger, M. D. Mulvenna, M. Galushka, B. Waterhouse Bradley, F. Browne, H. Wang, and A. Wong, "Democratisation of Usable Machine Learning in Computer Vision", arXiv preprint arXiv:1902.06804, 2019.
Boos, M., B. Chan, J. Elizabeth Ling, F. Kuyvenhoven, D. Sherrard, A. Lee, W. Chen, and J. S. Zelek, Golf Assist: Alleviating Joint Pain in Elderly Golfers, Submitted.
Booth, S., and D. A. Clausi, "Image segmentation using MRI vertebral cross-sections", 14th Canadian Conference on Electrical and Computer Engineering, 2001.
Booth, S., and D. A. Clausi, "Image segmentation using MRI vertebral cross-sections", Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No. 01TH8555), vol. 2: IEEE, pp. 1303–1307, 2001.
Booth, S., and D. A. Clausi, "Segmentation and three-dimensional reconstruction using MRI vertebral slices", Canadian Conference on Electrical and Computer Engineering, Toronto, ON, Canada, 05/2001.
Booth, S., and D. A. Clausi, "Automated segmentation and 3-d reconstruction from spinal MRI", World Congress on Medical Physics and Biomedical Engineering, Chicago, IL, 07/2000.
Borooman, A., B. Tan, A. Wong, and K. Bizheva, "Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework", SPIE Photonics West (BiOS), San Francisco, USA, 2015.
Boroomand, A., B. Tan, M. Javad Shafiee, K. Bizheva, and A. Wong, "A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 283–294, 2019.
Boroomand, A., G. Shaker, P. P. Morita, A. Wong, and J. Boger, "Autonomous gait speed estimation using 24GHz FMCW radar technology", 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI): IEEE, pp. 66–69, 2018.
Boroomand, A., B. Tan, A. Wong, and K. Bizheva, "A stochastically fully connected conditional random field framework for super resolution OCT", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, vol. 10053: International Society for Optics and Photonics, pp. 100532C, 2017.
Boroomand, A., E. Li, M. Javad Shafiee, M. A. Haider, F. Khalvati, and A. Wong, "A unified Bayesian-based compensated magnetic resonance imaging", 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE, pp. 1192–1195, 2016.
Boroomand, A., E. Li, M. J. Shafiee, M. A. Haider, F. Khalvati, and A. Wong, "A Unified Bayesian-Based Compensated Magnetic Resonance Imaging", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.
Boroomand, A., H. Sekkati, M. Lamm, D. A. Clausi, and A. Wong, "Saliency-guided projection geometric correction using a projector-camera system", International Conference on Image Processing (ICIP), Phoenix, AZ, 09/2016.
Boroomand, A., H. Sekkati, M. Lamm, D. A. Clausi, and A. Wong, "Saliency-guided projection geometric correction using a projector-camera system", 2016 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2951–2955, 2016.
Boroomand, A., B. Tan, A. Wong, and K. Bizheva, "Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX, vol. 9312: International Society for Optics and Photonics, pp. 931241, 2015.
Boroomand, A., M. J. Shafiee, A. Wong, and K. Bizheva, "Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework", SPIE Photonics West (BiOS), San Francisco, USA, 2015.
Boroomand, A., MJ. Shafiee, A. Wong, and K. Bizheva, "Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX, vol. 9312: International Society for Optics and Photonics, pp. 931240, 2015.
Boroomand, A., MJ. Sahfiee, L. Wang, E. Kuang, F. Kazemzadeh, and A. Wong, Compensated lens-free light field microscopy, Submitted.
Boroomand, A., K. J. Pfisterer, A. Wong, and others, "FEELS: a full-spectrum enhanced emotion learning system for assisting individuals with autism spectrum disorder", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Boroomand, A., J. Deglint, and A. Wong, "Bayesian Compensated Microscopy", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Boroomand, A., M. Javad Shafiee, F. Khalvati, M. A. Haider, and A. Wong, "Noise-compensated, bias-corrected diffusion weighted endorectal magnetic resonance imaging via a stochastically fully-connected joint conditional random field model", IEEE transactions on medical imaging, vol. 35, no. 12: IEEE, pp. 2587–2597, 2016.
Boroomand, A., A. Wong, and K. Bizheva, "A Conditional Random Field Weakly Supervised Segmentation Approach for Segmenting keratocytes Cells in Corneal Optical Coherence Tomography Images", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Boroomand, A., B. Tan, M. Javad Shafiee, K. Bizheva, and A. Wong, "Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation", arXiv preprint arXiv:1507.04992, 2015.
Boroomand, A., A. Wong, E. Li, D. Cho, B. Ni, and K. Bizheva, "Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images", Biomedical Optics Express, 2013.
Boroomand, A., A. Wong, E. Li, D. S. Cho, B. Ni, and K. Bizheva, "Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images", Biomedical optics express, vol. 4, no. 10: Optical Society of America, pp. 2032–2050, 2013.
Bos, L., L. Schouten, L. van Vught, M. Wiewel, D. Ong, O. Cremer, A. Artigas, I. Martin-Loeches, A. Hoogendijk, T. van der Poll, et al., "ESICM LIVES 2016: part one", Intensive Care Medicine Experimental, vol. 4, no. 1: SpringerOpen, pp. 1–203, 2016.
Brenning, A., S. Long, and P. Fieguth, "Detecting rock glacier flow structures using Gabor filters and IKONOS imagery", Remote Sensing of Environment, vol. 125, pp. 227 - 237, 2012.
Brenning, A., S. Long, and P. Fieguth, "Detecting rock glacier flow structures using Gabor filters and IKONOS imagery", Remote Sensing of environment, vol. 125: Elsevier, pp. 227–237, 2012.
Brenning, A., P. Fieguth, S. Long, MA. Peña, and AS. Soliman, "Remote sensing of the mountain cryosphere using texture filters and apparent thermal inertia", AGUFM, vol. 2011, pp. C31A–0588, 2011.
G Brodland, W., and D. A. Clausi, "Simulation of Morphogenetic Shape Changes Using the Finite Element Method", Biomechanics of Active Movement and Division of Cells: Springer, Berlin, Heidelberg, pp. 425–430, 1994.
G Brodland, W., D. A. Clausi, and N. Akkas, "Simulation of Morphogenetic Shape Changes Using the Finite Element Method", Biomechanics of Active Movement and Division of Cells, vol. H8, pp. 425 - 430, 1993.
Brodland, G. W., and D. A. Clausi, "Cytoskeletal mechanics of neurulation: Insights obtained from computer simulations", Invited contribution to Biochemistry and Cell Biology, pp. 545 - 553, 1995. PDF icon cytoskeletal_mechanics_of_neurulation_insights_obtained_from_computer_simulations.pdf (1.31 MB)
G Brodland, W., and D. A. Clausi, "Cytoskeletal mechanics of neurulation: insights obtained from computer simulations", Biochemistry and cell biology, vol. 73, no. 7-8: NRC Research Press Ottawa, Canada, pp. 545–553, 1995.
Brodland, G. W., and D. A. Clausi, "Embryonic Tissue Morphogenesis Modeled by FEM", Journal of Biomechanical Engineering, vol. 116, pp. 146-155, 1994. PDF icon embryonic_tissue_morphogenesis_modeled_by_fem.pdf (1.24 MB)
Brodland, GW., and DA. Clausi, Embryonic tissue morphogenesis modeled by FEM, 1994.
G Brodland, W., and D. A. Clausi, "N2L 3G1 Canada", Biomechanics of active movement and division of cells, vol. 84: Springer-Verlag, pp. 425, 1994.
Bromley, S. P., J. S. Zelek, and R. D. Dony, "Commodity real-time stereo vision for navigation", First Canadian Conference on Computer and Robot Vision, 2004. Proceedings.: IEEE, pp. 424–431, 2004.
Brumme, Z. L., N. N. Kinloch, S. Sanche, A. Wong, E. Martin, K. D. Cobarrubias, P. Sandstrom, P. N. Levett, R. P Harrigan, and J. B. Joy, "Extensive host immune adaptation in a concentrated North American HIV epidemic", AIDS (London, England), vol. 32, no. 14: Wolters Kluwer Health, pp. 1927, 2018.
Brzozowska, N. I., E. J. de Tonnerre, K. M. Li, X. Suo Wang, A. A. Boucher, P. D. Callaghan, M. Kuligowski, A. Wong, and J. C. Arnold, "The differential binding of antipsychotic drugs to the ABC transporter p-glycoprotein predicts cannabinoid–antipsychotic drug interactions", Neuropsychopharmacology, vol. 42, no. 11: Nature Publishing Group, pp. 2222–2231, 2017.
Buckstein, D., D. Clausi, D. Meger, D. Ramachandram, E. Granger, F. Mannan, F. Qureshi, F. Shkurti, F. Pomerleau, G. Taylor, et al., Bryan Tripp, University of Waterloo Carlos Vazquez, ETS Cunjian Chen, Michigan State University Daniel Asmar, American University of Beirut, Submitted.
Bullock, D., and J. Zelek, "Towards real-time 3-D monocular visual tracking of human limbs in unconstrained environments", Real-Time Imaging, vol. 11, no. 4: Academic Press, pp. 323–353, 2005.
Bullock, D., and J. Zelek, "Automatic Model Initialization for 3-D Monocular Visual Tracking of Human Limbs in Unconstrained Environments", WSEAS Transaction on Computers, pp. 1604–1610, 2004.
Bullock, D. J., and J. S. Zelek, "Real-time tracking for visual interface applications in cluttered and occluding situations", Image and Vision Computing, vol. 22, no. 12: Elsevier, pp. 1083–1091, 2004.
Bullock, D., and J. Zelek, "3-D Human Limb Tracking Using Monocular Vision in Unconstrained Environments", Artificial Intelligence.
Burke, B. F., DH. Staelin, JN. HEWITT, PW. Rosenkranz, and JW. Barrett, "Radio astronomy", RLE Progress report, no. 139, pp. 273–275, 1997.

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