Biblio
Filters: First Letter Of Last Name is D [Clear All Filters]
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2012. Towards Optimal Event Detection and Localization in Acyclic Flow Networks. Distributed Computing and Networking: 13th International Conference, ICDCN 2012, Hong Kong, China, January 3-6, 2012. Proceedings. :179–196.
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2006. On the macroscopic effects of local interactions in multi-hop wireless networks. 4th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2006), 3-6 April 2006, Boston, Massachusetts, {USA}. :161–168.
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2006. Reliable Tracking With Intermittent Communications. 2006 {IEEE} International Conference on Acoustics Speech and Signal Processing, {ICASSP} 2006, Toulouse, France, May 14-19, 2006. :1141–1144.
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2008. Motion detection with false discovery rate control. Proceedings of the International Conference on Image Processing, {ICIP} 2008, October 12-15, 2008, San Diego, California, {USA}. :873–876.
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2008. Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks. {IEEE} Trans. Signal Processing. 56:2562–2574.
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2009. Anomaly Detection with Score functions based on Nearest Neighbor Graphs. Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada.. :2250–2258.
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2010. A new algorithm for outlier rejection in particle filters. 13th Conference on Information Fusion, {FUSION} 2010, Edinburgh, UK, July 26-29, 2010. :1–7.
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2011. Active Boosted Learning (ActBoost). Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2011, Fort Lauderdale, USA, April 11-13, 2011. 15:743–751.
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2011. Structural similarity and distance in learning. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :744–751.
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2012. Cost Sensitive Sequential Classification. CoRR. abs/1205.4377
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2012. Multi-Stage Classifier Design. Proceedings of the 4th Asian Conference on Machine Learning, {ACML} 2012, Singapore, Singapore, November 4-6, 2012. 25:459–474.
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2012. Two stage decision system. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :920–923.
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2012. A combined approach to multi-label multi-task learning. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :616–619.
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2013. Sparse signal recovery under Poisson statistics. 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013, Allerton Park {&} Retreat Center, Monticello, IL, USA, October 2-4, 2013. :1450–1457.
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2013. Multi-stage classifier design. Machine Learning. 92:479–502.
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2014. Sparse signal recovery under poisson statistics for online marketing applications. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :4953–4957.
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2014. Model Selection by Linear Programming. Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {II}. 8690:647–662.
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2015. Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. :2152–2160.
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2015. Efficient Activity Retrieval through Semantic Graph Queries. Proceedings of the 23rd Annual {ACM} Conference on Multimedia Conference, {MM} '15, Brisbane, Australia, October 26 - 30, 2015. :391–400.
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2016. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. :4349–4357.
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2016. Minimax Optimal Sparse Signal Recovery With Poisson Statistics. {IEEE} Trans. Signal Processing. 64:3495–3508.
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2017. Learning to Speed Up Query Planning in Graph Databases. International Conference on Automated Planning and Scheduling.
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2017. Activity learning as a foundation for security monitoring in smart homes. Sensors. 17
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2016. Smart secure homes: A survey of smart home technologies that sense, assess, and respond to security threats. Journal of Reliable Intelligent Environments.
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2017. Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search. Journal of Machine Learning Research. 80