Dr. Guo's Google Scholar Profile, Click the link here.

iconBooks  

  1. G-D. Guo and Harry Wechsler, Mobile Biometrics, IET, 2017. ISBN: 978-1-78561-095-0, Available here on IET. 

  2. G-D. Guo, Face, Expression, and Iris Recognition Using Learning-based Approaches, VDM Verlag, 2008. ISBN: 978-3-8364-5738-5. Available here on Amazon.

  3. Y. Ma and G-D. Guo (Eds.) Support Vector Machines Applications, Springer, 2014. ISBN: 978-3-319-02299-4, or 978-3-319-02300-7 (eBook). The link to Springer is here, and to Amazon here.

 

iconBook Chapters

  1. G-D. Guo, Age Estimation, Stan Z. Li (Ed.), Encyclopedia of Biometrics, Springer, in press.

  2. G-D. Guo, Gender Classification , Stan Z. Li (Ed.), Encyclopedia of Biometrics, Springer, in press.

  3. G-D. Guo, Soft biometrics from face images using support vector machines, Y. Ma and G-D. Guo (Eds.), Applied Support Vector Machines, pages 269-302, Springer, 2014.

  4. G-D. Guo, Age Prediction in Face Images, Michael Fairhurst (Eds.), Age Factors in Biometric Processing, The Institution of Engineering and Technology (IET), pages 231-251, Savoy Place, London, 2013.

  5. G-D. Guo, Age Estimation and Sex Classification,  C. Shan, F. Porikli, T. Xiang, and S. Gong (Eds.), Video Analytics for Business Intelligence, pages 101-131, Springer-Verlag. 2012.

  6. Y. Fu, G-D. Guo, and T. S. Huang, Soft Biometrics for Video Surveillance, Y. Ma and G. Qian (Eds.), Intelligent Video Surveillance: Systems and Technology, Taylor and Francis Group, LLC, 2009.

 

iconPatents

  1. Method for localizing irises in images using gradients and textures, with Mike Jones (MERL), United States Patent Application No. 11/329,742; International Application No. PCT/JP2006/326402.

  2. Method for extracting features of irises in images using difference of sum filters, with Mike Jones (MERL), United States Patent Application No. 11/329,624; International Application No. PCT/JP2006/326407.

  3. Difference of sum filters for texture classification, with Mike Jones (MERL), United States Patent Application No.11/329,791.

 

iconJournal Publications


  1. G-D. Guo, K. Guffey, W. Chen, and P. Pergami, Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data, Neuroinformatics, accepted on August 5, 2016. 

  2. Y. Zhu, Y. Li, G. Mu, S. Shan, and G-D. Guo, Still to Video Face Matching Using Multiple Geodesic Flows, IEEE Trans. on Information Forensics & Security, accepted on August 3, 2016. 

  3. X.Wang, G-D. Guo, M. Merler, N. Codellac, R. MV, J. Smith, and C. Kambhamettua, Leveraging
    Multiple Cues for Recognizing Family Photos, Image and Vision Computing, Special Issue on the "Best of Face and Gesture 2015", published online on August 3, 2016.

  4. J. Wan, G-D. Guo, and S. Li, Explore efficient local features from RGB-D data for one shot learning gesture recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence,  Vol. 38, No. 8, pages 1626-1639, 2016.

  5. G. Li, X. Zhou, Y. Shang, and G-D. Guo, Sky detection by effective context inference, Neurocomputing, accepted on December 7, 2015.

  6. Z. Shao, Y. Shang, Y. Zhang, X. Liu, and G-D. Guo, Robust watermarking using orthogonal Fourier-Mellin moments and chaotic map for double images, Signal Processing, accepted on October 13, 2015.

  7. X. Zhou, Y. Shang, H. Yan, and G-D. Guo, Ensemble similarity learning for kinship verification from facial images in the wild, Information Fusion, September, 2015 (on line). (http://dx.doi.org/10.1016/j.inffus.2015.08.006)

  8. L. Wen, X. Li, G-D. Guo, and Y. Zhu, Automated depression diganosis based on facial dynamic analysis and sparse coding, IEEE Trans. on Information Forensics & Security, Vol. 10, Issue 7, pages 1432-1441, 2015.

  9. W. Chen and G-D. Guo, TriViews: A general framework to use 3d depth data effectively for action recognition, Journal of Visual Communication and Image Representation, Vol. 26, No. 1, Pages 182-191, 2015.

  10. X. Qi, E. Fuller, R. Luo, G-D. Guo, and C. Zhang, Laplacian energy of digraphs and a minimum laplacian energy algorithm, International Journal of Foundations of Computer Science, Vol. 26, No. 3, pages 367-380, 2015.

  11. Y. Zhu, W. Chen and G-D. Guo, Fusing multiple features for depth-based action recognition, ACM Trans. on Intelligent Systems and Technology, Special Issue on Visual Understanding with RGB-D Sensors, Volume 6, Issue 2, Article No. 18, pages 1-20, May 2015.

  12. Q. Zhu, G-D. Guo, W. Tang, and C. Q. Zhang, A diagnosis algorithm by using graphcoloring under the PMC model, Journal of Combinatorial Optimization, DOI: 10.1007/s10878-015-9923-5, 2015.

  13.  Q. Wu, G-D. Guo, and J. Liang, A cue integration method for anaglyph image partition, International Journal of Machine Learning and Cybernetics, pages 1-11, 2014.

  14.  G -D. Guo, Heterogeneous face recognition: An emerging topic in biometrics, Intel Technology Journal, Vol. 18, Issue 4, Pages 80-97, 2014. (Invited).

  15. G-D. Guo and G. Mu, A framework for joint estimation of age, gender and ethnicity on a large database, Image and Vision Computing, accepted on April 30, 2014. Special issue on "The Best of Face and Gesture 2013".

  16. G-D. Guo and A. Lai, A survey on still image based human action recognition, Pattern Recognition, Vol. 47, Issue 10, pages 3343-3361, 2014.(Ranked #5 among 24 of the "Most Downloaded Pattern Recognition Articles", accessed on August 20, 2014)

  17. Y. Zhu, W. Chen and G-D. Guo, Evaluating spatiotemporal interest point features for depth-based action recognition, Image and Vision Computing, Vol. 32, Issue 8, pages 453-464, 2014.(Ranked #7 among 25 of the "Most Downloaded Image and Vision Computing Articles", accessed on August 20, 2014)

  18. Q. Wu and G-D. Guo, Gender recognition from unconstrained and articulated human body, The Scientific World Journal, Vol. 2014, Article ID 513240, 12 pages,  2014. http://dx.doi.org/10.1155/2014/513240.

  19. N. Al-Sheriff, G-D. Guo, and H. Ammar, Automated dental identification based on orthogonal locality preserving projection, Journal of Engineering and Applied Sciences, Vol. 1, No. 1, pages 24-29, 2014.

  20. X. Qi, W. Tang, Y. Wu, G-D. Guo, E. Fuller and C-Q. Zhang, Optimal local community detection in social networks based on density drop of subgraphs, Pattern Recognition Letters, Vol. 36, No. 1, pages 46-53, 2014.

  21. G-D. Guo, L. Wen and S. Yan, Face authentication with makeup changes, IEEE Trans. Circuits and Systems for Video Technology, In press. DOI: 10.1109/TCSVT.2013.2280076

  22. Q. Wu and G-D. Guo, Age classification in human body images, Journal of Electronic Imaging, vol. 22, no. 3, pages 033024-(1-10), July-September, 2013.

  23. Y. Zhu and G-D. Guo, A study on visible to infrared action recognition, IEEE Signal Processing Letters, Vol. 20, No. 9, pages 897-900, 2013.

  24. G-D. Guo, R. Guo, and X. Li, Facial expression recognition influenced by human aging, IEEE Trans. Affective Computing, vol. 4, no. 3, pp. 291-298, July-Sept. 2013.

  25. L.Wen and G-D. Guo, A computational approach to body mass index prediction from face images, Image and Vision Computing, Vol. 31, Issue 5, pages 392-400, 2013. (This work was reported by Scientific News, including New Scientist, Yahoo! Lifestyle, ACM TechNews, ...)

  26. J. Yin, R. Luo, and G-D. Guo, Graphic Sequences with an A-Connected Realization, Graphs and Combinatorics, published online: Sept. 3, 2013. DOI 10.1007/s00373-013-1363-3.

  27. Q. Zhu, G-D. Guo, and D. Wang, Relating diagnosability, strong diagnosability and conditional diagnosability of strong networks, IEEE Trans. Computers , accepted on March 4, 2013. DOI:10.1109/TC.2013.64

  28. L.Wen and G-D. Guo, Dual attributes for face verification robust to facial cosmetics, Journal of Computer Vision and Image Processing, NWPJ-201301-82, Vol. 3, No. 1, pages 63-73, 2013. [PDF] and the scanned version.

  29. X. Ning and G-D. Guo, Assessing spinal loading using the kinect depth sensor: A feasibility study, IEEE Sensors Journal, Vol. 13, No. 4, 1139-1140, 2013. (One of the 25 most downloaded Sensors Journal papers in the months of March and April 2013.)

  30. J. Yin and G-D. Guo, The smallest degree sum that yields graphic sequences with a Z3-connected realization, European Journal of Combinatorics, Vol. 34, 806-811, 2013.

  31. M. H. Cheng, G-D. Guo, L. E. Banta, and E. G. Bakhoum, Identification of arm locomotion and controller synthesis for assistive robotic systems, ICIC Express Letters, Vol. 6, No. 10, 2659-2665, 2012.

  32. G-D. Guo and X. Wang, Kinship measurement on salient facial features, IEEE Trans. on Instrumentation & Measurement, Vol. 61, No. 8, 2322-2325, 2012.

  33. J. Zeng, H. Ling, L. J. Latecki, S. Figzhugh, and G-D. Guo, Analysis of facial images across age progression by humans, ISRN Machine Vision, Vol. 2012, Article ID 505974, 7 pages.

  34. Y. Fu, G-D. Guo, and T. Huang, Age synthesis and estimation via faces: A survey, IEEE Trans. on  Pattern Analysis and Machine Intelligence, Vol. 32, No. 11, 1955-1976,  2010. [PDF]

  35. G-D. Guo, Y. Fu, C. Dyer, and T. Huang, Image-based human age estimation by manifold learning and locally adjusted robust regression, IEEE Trans. on Image Processing, Vol. 17, No. 7, 1178-1188, July, 2008. [PDF]

  36. G-D. Guo and C. Dyer, Learning from Examples in the Small Sample Case: Face Expression Recognition, IEEE Trans. on System, Man and Cybernetics - Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, Vol. 35, No. 3, 477-488, June, 2005. [PDF]

  37. G-D. Guo and S. Li, Content-based Audio Classification and Retrieval by Support Vector Machines, IEEE Trans. on Neural Networks, Vol. 14, No. 1, 209-215, January, 2003. [PDF]

  38. G-D. Guo, A. Jain, W. Ma, and H. Zhang, Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback, IEEE Trans. on Neural Networks, Special Issue on Intelligent Multimedia Processing, Vol. 13, No. 4, 811-820, July, 2002. [PDF]

  39. G-D. Guo, S. Li, and K. Chan, Support Vector Machines for Face Recognition, Image and Vision Computing, Special Issue on Artificial Neural Networks for Image Analysis and Computer Vision, Vol. 19, Issue 9-10, 631-638, 2001. [PDF]

  40. G-D. Guo and S. Ma, Bayesian Learning, Global Competition, and Unsupervised Image Segmentation, Pattern Recognition Letters, Vol. 21,No. 2, 107-116, 2000.

  41. G-D. Guo and S. Ma, Color Image Segmentation, Journal of Image and Graphics, 329-335, 1998.

  42. G-D. Guo and S. Ma, A Hierarchical Framework for Unsupervised Segmentation of Noisy Images, Chinese Journal of Electronics (in English), No. 4, 550-563, Oct. 1998.

 

iconConference Publications


  1. Y. Zhu and G-D. Guo, Exploring Deep Features with Different Distance Measures for Still to Video Face Matching, CCBR2016. 

  2. Z. Zheng and G-D. Guo, A Joint Optimization Scheme To Combine Different Levels of Features for Face Recognition with Makeup Changes, IEEE Int’l Conf. on Image Processing (ICIP), 2016. 

  3. Walter Scheirer, Patrick Flynn, Changxing Ding, Guodong Guo, Vitomir Struc, Mohamad Al Jazaery, Klemen Grm, Simon Dobrisek, Dacheng Tao, Yu Zhu, Joel Brogan, Sandipan Banerjee, Aparna Bharati and Brandon Richard Webster, Report on the BTAS 2016 Video Person Recognition Evaluation, IEEE 8th International Conf. on Biometrics Theory, Applications and Systems (BTAS), 2016.

  4. Y. Zhu, Y. Li, G. Mu, and G-D. Guo, A study on apparent age estimation, In International Conference on Computer Vision Workshop, Santiago, Chile, December, 2015. (Presenting our award winning work of being among the top three in "2015 Looking at People ICCV Challenge")

  5. Y. Zhu, Z. Zheng, Y. Li, G. Mu, S. Shan, and G-D. Guo, Still to video face recognition using a heterogeneous matching approach, In the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS 2015), Washington DC, September 8-11, 2015.

  6. X. Wang, G-D. Guo, R. Mv, and C. Kambhamettu, Leveraging geometry and appearance cues for recognizing family photos, The 11th IEEE Int. Conf. Automatic Face and Gesture Recognition (FG’15), May 4-8, 2015. (Oral Presentation), selected as one of “The Best of Face and Gesture 2015”.

  7. L. Wen, G-D. Guo, and X. Li, A study on the influence of body weight changes on face recognition, Int’l Joint Conference on Biometrics (IJCB’14), Clearwater, Florida, USA, Sept. 29 - Oct. 2, 2014. (acceptance rate 34.3% (=80/233)).

  8. G-D. Guo and C. Zhang, A study on cross-population age estimation, In the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR’14), Columbus, Ohio, June 24-27, 2014. (acceptance rate 29.88%)

  9. X.Wang, V. Ly, G-D. Guo and C. Kambhamettu, A new approach for 2D-3D heterogeneous face recognition, in IEEE International Symposium on Multimedia (ISM’13), December 9-11,2013, Anaheim, CA.

  10. C. Ciaccio, L. Wen, and G-D. Guo, Face recognition robust to head pose changes based on the RGB-D sensor, In the IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013),Washington DC, September 29, 2013. (Oral presentation).

  11. C. Zhang and G-D. Guo, Age estimation with expression changes using multiple aging subspaces, In the IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013), Washington DC, September 29, 2013.

  12. L. Jiang, R. Shisheie, M. Cheng, L. Banta, and G-D. Guo, Moving trajectories and controller synthesis for an assistive device for arm rehabilitation In the ninth IEEE International Conference on Automation Science and Engineering (CASE 2013), August 17-21, 2013, Madison, Wisconsin.

  13. Y. Zhu, W. Chen, and G-D. Guo, Fusing spatiotemporal features and joints for 3D action recognition, In the 3rd Int’l Workshop on Human Activity Understanding from 3D Data (HAU3D13), in conjunction with CVPR’13, Portland, Oregon, June 24, 2013. (Oral)

  14. C. Zhang and G-D. Guo, Exploiting unlabeled ages for aging pattern analysis on a large database, In Big Data Computer Vision, in conjunction with CVPR’13, Portland, Oregon, June 24, 2013.(Oral)

  15. H. Chao, Y. Gu, G-D. Guo, M. Fravolini, and M. Napolitano, A comparative study of optical flow and traditional sensors in UAV navigation, American Control Conference (ACC’13), Washington DC, June 17-19, 2013.

  16. G-D. Guo and G. Mu, Joint estimation of age, gender and ethnicity: CCA vs. PLS, Proc. 10th IEEE Int. Conf. Automatic Face and Gesture Recognition (FG’13), April, 2013.  (Oral, acceptance rate 12.0%), selected as one of "The Best of Face and Gesture 2013".

  17. G-D. Guo and X. Wang, A Study on Human Age Estimation under Facial Expression Changes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), June, 2012.(acceptance rate 23.3%)  

  18. J. Yang, Z. Cai, L.Wen, Z. Lei, G-D. Guo, and S. Z. Li. A new projection space for separation of specular and diffuse reflection components in color images, The 11th Asian Conference on Computer Vision (ACCV’12), 1-12, 2012. (acceptance rate 26.8%) 

  19. N. Al-Sheriff, G-D. Guo, and H. Ammar, A new approach to teeth segmentation, IEEE International Symposium on Multimedia (ISM’12), 145-148, 2012, Irvine, CA.

  20. N. Al-Sheriff, G-D. Guo, and H. Ammar, Automatic classification of teeth in bitewing dental images using OLPP, IEEE International Symposium on Multimedia (ISM’12), 92-95, 2012, Irvine, CA.

  21. G-D. Guo, Digital Anti-Aging in Face Images, IEEE International Conference on Computer Vision (ICCV'11), 2510-2515, November 2011. (acceptance rate 23.7%)

  22. G-D. Guo and G. Mu, Simultaneous Dimensionality Reduction and Human Age Estimation via Kernel Partial Least Squares Regression, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), 657-664, June, 2011.(acceptance rate 26%) [PDF]

  23. G-D. Guo, G. Mu, and K. Ricanek, Cross-Age Face Recognition on A Very Large Database: The Performance Versus Age Intervals and Improvement Using Soft Biometric Traits, International Conference on Pattern Recognition (ICPR'10), 3392-3395, August, 2010. (Oral, acceptance rate 18%).

  24. G-D. Guo, G. Mu, Human Age Estimation: What is the Influence Across Race and Gender? IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'10), June, 2010.

  25. G-D. Guo, G. Mu, A Study of Large-Scale Ethnicity Estimation with Gender and Age Variations, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'10), June, 2010.

  26. G-D. Guo, G. Mu, Y. Fu, C. Dyer, and T. S. Huang, A study on automatic age estimation using a large database, IEEE International Conference on Computer Vision (ICCV'09), 1986-1991, September, 2009. (acceptance rate 23%) [PDF]

  27. G-D. Guo, G. Mu, Y. Fu, and T. S. Huang, Human age estimation using bio-inspired features, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09), 112-119, June, 2009. (acceptance rate 26%)

  28. G-D. Guo, G. Mu, and Y. Fu, Gender from body: A biologically-inspired approach with manifold learning, the Ninth Asian Conference on Computer Vision (ACCV'09), 236-245, September, 2009. (acceptance rate 25%)

  29. G-D. Guo, C. Dyer, Y. Fu, and T. S. Huang, Is gender recognition influenced by age? IEEE International Workshop on Human-Computer Interaction (HCI'09), in conjunction with ICCV'09, 2032-2039, October, 2009.

  30. G-D. Guo, Y. Fu, C. Dyer, and T. S. Huang, Head pose estimation: Classification or regression? International Conference on Pattern Recognition (ICPR'08), December, 2008. [PDF]

  31. G-D. Guo, Y. Fu, C. Dyer, and T. S. Huang, A probabilistic fusion approach to human age prediction, International Workshop on Semantic Learning Applications in Multimedia (SLAM'08), June, 2008. [PDF] 

  32. Y. Fu, L. Cao, G-D. Guo, and T. S. Huang, Multiple Feature Fusion by Subspace Learning, ACM International Conference on Image and Video Retrieval (ACM CIVR'08), 2008. [PDF]

  33. G-D. Guo, Y. Fu, T. Huang, and C. Dyer, Locally adjusted robust regression for human age estimation, IEEE Workshop on Application of Computer Vision (WACV'08), January 7-9, 2008. [PDF] 

  34. G-D. Guo and M. Jones, Iris extraction based on intensity gradient and texture difference, IEEE Workshop on Application of Computer Vision (WACV'08), January 7-9, 2008. [PDF]  

  35. G-D. Guo and C. Dyer, Patch-based Image Correlation with Rapid Filtering, the 2nd Beyond Patches Workshop, in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07), June 18-23, Minneapolis, Minnesota, 2007.  [PDF]

  36. G-D. Guo and C. Dyer, Face Cyclographs for Recognition, the Eighth International Conference on Computer Vision, Pattern Recognition & Image Processing(CVPRIP), 923-929, July 18-24, Salt Lake City, Utah, 2007. [PDF]

  37. G-D. Guo, C. Dyer, and Z. Zhang, Linear Combination Representation for Outlier Detection in Motion Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'05), Vol. 2, 274-281, June, 2005. (acceptance rate 28%). [PDF]

  38. G-D. Guo and C. Dyer, Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'03), Vol. 1, 346-352, June, 2003.(acceptance rate 23%). [PDF]

  39. G-D. Guo, A. Jain, W. Ma, and H. Zhang, Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'01), Vol. 1, 731-736, 2001. (acceptance rate 29%). [PDF]

  40. G-D. Guo, H. Zhang, and S. Li, Pairwise Face Recognition, the Eighth IEEE International Conference on Computer Vision (ICCV'01), Vol. 2, 282-287, 2001. (acceptance rate 34%). [PDF]

  41. G-D. Guo and H. Zhang, Boosting for Fast Face Recognition, Second International Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Real-time Systems (RATFG-RTS'01), in conjunction with ICCV'01, 96-100, 2001. [PDF]

  42. G-D. Guo, H. Zhang, and S. Li, Boosting for Content-based Audio Classification and Retrieval: An Evaluation, IEEE International Conference on Multimedia and Expo (ICME'01), 2001. [PDF]

  43. G-D. Guo, H. Zhang, and S. Li, Distance from Boundary As a Metric for Texture Image Retrieval, International Conference on Acoustics, Speech, and Signal Processing (ICASSP'01), Vol. 3. [PDF]

  44. G-D. Guo and S. Li, Content-based Audio Classification and Retrieval Using SVM Learning, the First IEEE Pacific-Rim Conference on Multimedia, (invited), Australia, 2000.

  45. G-D. Guo, S. Li, and K. Chan, Learning Similarity for Texture Image Retrieval, Sixth European Conference on Computer Vision (ECCV'00), 178-190, 2000. [PDF]

  46. G-D. Guo, S. Li, and K. Chan, Face Recognition by Support Vector Machines, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 196-201, Grenoble, France, 2000. [PDF]

  47. G-D. Guo, S. Li, K. Chan, and H. Pan, Texture Image Segmentation using Reduced Gabor Filter Set and Mean Shift Clustering, Fourth Asian Conference on Computer Vision (ACCV'00), 198-203, 2000.

  48. H. Pan, S. Li, and G-D. Guo, Robust Unsupervised Clustering Using Generalized Annealing M-Estimator, Fourth Asian Conference on Computer Vision (ACCV'00), 104-109, 2000.

  49. G. Xu and G-D. Guo, The Linear Geo-Photometric Constraint for Image Matching, Structure Reconstruction, Image Synthesis and Object Recognition, IEEE Workshop on Multi-View Modeling and Analysis of Visual Scenes in CVPR'99, pp. 55-62, Fort Collins, Colorado, 1999.

  50. G-D. Guo, S. Yu, and S. Ma, Unsupervised Segmentation Based on Multi-Resolution Analysis, Robust Statistics and Majority Game Theory, 14th Int'l Conference on Pattern Recognition (ICPR'98), Vol. 1, 799- 801, Aug. 16-20, Brisbane, Australia, 1998.

  51. G-D. Guo, S. Yu, and S. Ma, On the Initial Label Configuration of MRF, IX European Signal Processing Conference (EUSIPCO'98), Vol. 3, 1685-1688, Greece, 1998.

  52. G-D. Guo, S. Yu, and S. Ma, A New Algorithm CGA for Image Labeling, IX European Signal Processing Conference (EUSIPCO'98), Vol. 4, 2545-2548, Greece, 1998.

  53. G-D. Guo and S. Ma, Unsupervised Segmentation of SAR Images, International Geoscience and Remote Sensing Symposium (IGARSS'98), Vol. 2, 1150-1152, Seattle, Washington, 1998.

  54. G-D. Guo, S. Yu, and S. Ma, An Image Labeling Algorithm Based on Cooperative Game Theory, Fourth International Conference on Signal Processing (ICSP'98).

  55. G-D. Guo and S. Ma, Bayesian Learning, Global Competition, and Unsupervised Image Segmentation, Fourth International Conference on Signal Processing (ICSP'98), Vol. II, 986-989, October 12-16,1998.

  56. G-D. Guo, S. Yu, and S. Ma, Unsupervised Segmentation of Color Images, International Conference on Image Processing (ICIP'98), Chicago, Illinois, 299-302, 1998.

 

Technical Reports

  1. G-D. Guo, Face, expression, and iris recognition using learning-based approaches, TR-1575, University of Wisconsin - Madison, August 2006.

  2. G-D. Guo and C. Dyer, Face Cyclographs for Recognition, TR-1555, University of Wisconsin - Madison, March 2006.

  3. G-D. Guo, M. Jones, and P. Beardsley, A System for Automatic Iris Capturing, TR2005-044, Mitsubishi Electric Research Labs, June 2005.

  4. G-D. Guo and C. Dyer, Spatial Resolution Enhancement of Video using Still Images, TR-1502, University of Wisconsin - Madison, April 2004.

  5. G-D. Guo and C. Dyer, Recognizing Faces from Head Rotation, TR-1501, UW-Madison, April, 2004.

  6. G-D. Guo and C. Dyer, Markov Information Propagation for Texture Synthesis, TR-1446, UW-Madison, Sept. 2002.

  7. G-D. Guo and C. Dyer, An Evaluation of Bayes and Large Margin Classifiers for Face Expression Recognition, TR-1447, UW-Madison, Sept. 2002.

  8. G-D. Guo, H. Zhang, and S. Li, Pairwise Face Recognition, MSR-TR-2001-12, Jan., 2001.

  9. G-D. Guo, H. Zhang, and S. Li, Boosting for Content-based Audio Classification and Retrieval, MSR-TR-2001-15, Feb., 2001.

  10. G-D. Guo, H. Zhang, and S. Li, Boosting for Fast Face Recognition, MSR-TR-2001-16, Feb., 2001.