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  • Conference contribution

    Learning minimal latent directed information trees

    Etesami, J., Kiyavash, N. & Coleman, T. P., Oct 22 2012, 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012. p. 2726-2730 5 p. 6284017. (IEEE International Symposium on Information Theory - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning models for actions and person-object interactions with transfer to question answering

    Mallya, A. & Lazebnik, S., 2016, Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Leibe, B., Matas, J., Sebe, N. & Welling, M. (eds.). Springer, p. 414-428 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9905 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning motion in feature space: Locally-consistent deformable convolution networks for fine-grained action detection

    Mac, K. N., Joshi, D., Yeh, R., Xiong, J., Feris, R. & Do, M., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 6281-6290 10 p. 9010064. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning multiple arm postures of a real arm robot

    Campos, T. & Schulten, K., 1992, Intelligent Engineering Systems Through Artificial Neural Networks. Dagli, C. H., Burke, L. I. & Shin, Y. C. (eds.). ASME, Vol. 2. p. 797-802 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning multiscale image models of 2D object classes

    Perrin, B., Ahuja, N. & Srinivasa, N., 1997, Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Chin, R. & Pong, T-C. (eds.). Springer, p. 323-331 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1352).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning named entity tagger using domain-specific dictionary

    Shang, J., Liu, L., Gu, X., Ren, X., Ren, T. & Han, J., 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 2054-2064 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning network of multivariate hawkes processes: A time series approach

    Etesami, J., Kiyavash, N., Zhang, K. & Singhal, K., Jan 1 2016, 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016. Janzing, D. & Ihler, A. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 162-171 10 p. (32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning nonlinear manifolds from time series

    Lin, R. S., Liu, C. B., Yang, M. H., Ahuja, N. & Levinson, S., 2006, Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Proceedings. Springer, p. 245-256 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3952 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning no-reference quality metric by examples

    Tong, H., Li, M., Zhang, H. J., Zhang, C., He, J. & Ma, W. Y., Dec 1 2005, Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005. p. 247-254 8 p. 1385998. (Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning numerical observers using unsupervised domain adaptation

    He, S., Zhou, W., Li, H. & Anastasio, M. A., 2020, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 113160W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11316).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning online discussion structures by conditional random fields

    Wang, H., Wang, C., Zhai, C. X. & Han, J., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 435-444 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning outcomes assessment for project-based study abroad programs in developing countries

    Hahn, L. D., Hansen, A. C. & Kalita, P. K., Jan 1 2008, American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008. American Society of Agricultural and Biological Engineers, p. 72-83 12 p. (American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning overcomplete sparsifying transforms for signal processing

    Ravishankar, S. & Bresler, Y., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 3088-3092 5 p. 6638226. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning overcomplete sparsifying transforms with block cosparsity

    Wen, B., Ravishankar, S. & Bresler, Y., Jan 28 2014, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 803-807 5 p. 7025161. (2014 IEEE International Conference on Image Processing, ICIP 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning predictive cognitive structure from fMRI using supervised topic models

    Koyejo, O., Patel, P., Ghosh, J. & Poldrack, R. A., 2013, Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013. p. 9-12 4 p. 6603544. (Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning process behavioral baselines for anomaly detection

    Fawaz, A. M. & Sanders, W. H., May 5 2017, Proceedings - 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing, PRDC 2017. Kitakami, M., Kim, D. S. & Varadharajan, V. (eds.). IEEE Computer Society, p. 145-154 10 p. 7920608. (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning query and document relevance from a web-scale click graph

    Jiang, S., Hu, Y., Kang, C., Daly, T., Yin, D., Chang, Y. & Zhai, C., Jul 7 2016, SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 185-194 10 p. (SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning recognition and segmentation of 3-D objects from 2-D images

    Weng, J. J., Ahuja, N. & Huang, T. S., Jan 1 1993, 1993 IEEE 4th International Conference on Computer Vision. Publ by IEEE, p. 121-127 7 p. (1993 IEEE 4th International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning relational Kalman filtering

    Choi, J., Amir, E., Xu, T. & Valocchi, A. J., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 2539-2546 8 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning relevance from heterogeneous social network and its application in online targeting

    Wang, C., Raina, R., Fong, D., Zhou, D., Han, J. & Badros, G., 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 655-664 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning rich features from RGB-D images for object detection and segmentation

    Gupta, S., Girshick, R., Arbeláez, P. & Malik, J., Jan 1 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 7 ed. Springer, p. 345-360 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8695 LNCS, no. PART 7).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning search tasks in queries and web pages via graph regularization

    Ji, M., Yan, J., Gu, S., Han, J., He, X., Zhang, W. V. & Chen, Z., Jan 1 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 55-64 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning semantic embedding at a large scale

    Tsai, M. H., Wang, J., Zhang, T., Gong, Y. & Huang, T. S., Dec 1 2011, ICIP 2011: 2011 18th IEEE International Conference on Image Processing. p. 2497-2500 4 p. 6116168. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning shared body plans

    Endres, I., Srikumar, V., Chang, M. W. & Hoiem, D., Oct 1 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 3130-3137 8 p. 6248046. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning source trajectories using wrapped-phase hidden Markov models

    Smaragdis, P. & Boufounos, P., Dec 1 2005, 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. p. 114-117 4 p. 1540182. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning sparsifying filter banks

    Pfister, L. & Bresler, Y., 2015, Wavelets and Sparsity XVI. Goyal, V. K., Van De Ville, D., Van De Ville, D., Papadakis, M., Van De Ville, D., Papadakis, M., Goyal, V. K. & Van De Ville, D. (eds.). SPIE, 959703. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9597).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning sparsifying transforms for image processing

    Ravishankar, S. & Bresler, Y., Dec 1 2012, 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings. p. 681-684 4 p. 6466951. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning stateful preconditions modulo a test generator

    Astorga, A., Madhusudan, P., Saha, S., Wang, S. & Xie, T., Jun 8 2019, PLDI 2019 - Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation. McKinley, K. S. & Fisher, K. (eds.). Association for Computing Machinery, p. 775-787 13 p. (Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Learning stroke treatment progression models for an MDP clinical decision support system

    Coroian, D. C. & Hauser, K., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 676-684 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Learning Structural Genetic Information via Graph Neural Embedding

    Xie, Y., Pei, Y., Lu, Y., Tang, H. & Zhou, Y., 2020, Bioinformatics Research and Applications - 16th International Symposium, ISBRA 2020, Proceedings. Cai, Z., Mandoiu, I., Narasimhan, G., Skums, P. & Guo, X. (eds.). Springer, p. 250-261 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12304 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning subcategory relevances for category recognition

    Todorovic, S. & Ahuja, N., Sep 23 2008, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 4587366. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning sufficient queries for entity filtering

    Efron, M., Willis, C. & Sherman, G., 2014, SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 1091-1094 4 p. (SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning Task-Based Instructional Policy for Excavator-Like Robots

    Maske, H., Kieson, E., Chowdhary, G. & Abramson, C., Sep 10 2018, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., p. 1962-1969 8 p. 8462923. (Proceedings - IEEE International Conference on Robotics and Automation).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning the behavior of users in a public space through video tracking

    Yan, W. & Forsyth, D. A., 2005, Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005. IEEE Computer Society, p. 370-377 8 p. 4129505. (Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning the Delaunay triangulation of landmarks from a distance ordering sensor

    Katsev, M. & LaValle, S. M., Dec 29 2011, IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics. p. 2511-2516 6 p. 6048789. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning the ideal observer for SKE detection tasks by use of convolutional neural networks (Cum Laude Poster Award)

    Zhou, W. & Anastasio, M. A., Jan 1 2018, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Nishikawa, R. M. (eds.). SPIE, 1057719. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10577).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning the Perceptual Control Manifold for sensor-based robot path planning

    Zeller, M., Schulten, K. & Sharma, R., Jan 1 1997, Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA. IEEE, p. 48-53 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning the sparse representation for classification

    Yang, J., Wang, J. & Huang, T., Nov 7 2011, Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011. 6012083. (Proceedings - IEEE International Conference on Multimedia and Expo).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning through telemedicine networks

    Deng, L. & Poole, M. S., 2003, Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. Sprague, R. H. (ed.). Institute of Electrical and Electronics Engineers Inc., 1174377. (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments over Time

    Chen, B., Azad, S., Fowler, M., West, M. & Zilles, C., Aug 12 2020, L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale. Association for Computing Machinery, p. 197-206 10 p. (L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to communicate: A machine learning framework for heterogeneous multi-agent robotic systems

    Yoon, H. J., Chen, H., Long, K., Zhang, H., Gahlawat, A., Lee, D. & Hovakimyan, N., 2019, AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Scitech 2019 Forum).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to control renewal processes with bandit feedback

    Cayci, S., Eryilmaz, A. & Srikant, R., Jun 20 2019, SIGMETRICS Performance 2019 - Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems. Association for Computing Machinery, Inc, p. 41-42 2 p. (SIGMETRICS Performance 2019 - Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Learning to detect important visual changes for structural inspections using physicsbased graphics models

    Hoskere, V., Narazaki, Y. & Spencer, B. F., 2019, 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings. Chen, G. & Alampalli, S. (eds.). International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII, p. 1484-1490 7 p. (9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to efficiently rank on big data

    Wang, L., Lin, J., Metzler, D. & Han, J., Apr 7 2014, WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 1 p. (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to explore via meta-policy gradient

    Xu, T., Liu, Q., Zhao, L. & Peng, J., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 8686-8706 21 p. (35th International Conference on Machine Learning, ICML 2018; vol. 12).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to find pictures of people

    Ioffe, S. & Forsyth, D., Jan 1 1999, Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998. Neural information processing systems foundation, p. 782-788 7 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to fire at targets by an iCub humanoid robot

    Nath, V. K. & Levinson, S. E., Sep 5 2013, Designing Intelligent Robots: Reintegrating AI II - Papers from the AAAI Spring Symposium, Technical Report. p. 33-36 4 p. (AAAI Spring Symposium - Technical Report; vol. SS-13-04).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to Learn Words from Visual Scenes

    Surís, D., Epstein, D., Ji, H., Chang, S. F. & Vondrick, C., 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer, p. 434-452 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12374 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to localize detected objects

    Dai, Q. & Hoiem, D., Oct 1 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 3322-3329 8 p. 6248070. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to localize little landmarks

    Singh, S., Hoiem, D. & Forsyth, D., Dec 9 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 260-269 10 p. 7780404. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution