LoCATE
Location-based Activity Tracking and Event recognition.
Henry Kautz, Jiebo Luo (University of Rochester)Dieter Fox (University of Washington)
Chris Homan (Rochester Institute of Technology)
Adam Sadilek (Google)
LoCATELocation-based Activity Tracking and Event recognition. Henry Kautz, Jiebo Luo (University of Rochester)Dieter Fox (University of Washington) Chris Homan (Rochester Institute of Technology) Adam Sadilek (Google) |
|
Ann Marie White, Linxiao Bai, Christopher Homan, Melanie Funchess, Catherine Cerulli, Amen Ptah, Deepak Pandita, and Henry Kautz (2018). Does Reciprocal Gratefulness in Twitter Predict Neighborhood Safety?: Comparing 911 Calls Where Users Reside or Use Social Media. 12th International AAAI Conference on Web and Social Media (ICWSM-2018), Stanford, CA, 2018.
Tianran Hu, Eric Bigelow, Jiebo Luo, Henry A. Kautz. Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas. IEEE Trans. Big Data 3(1): 55-66, 2017.
Tianran Hu, Jiebo Luo, Henry A. Kautz, Adam Sadilek: Home location inference from sparse and noisy data: models and applications. Information Technology & Electronic Engineering 17(5): 389-402 (2016).
Danning Zheng, Tianran Hu, Quanzeng You, Henry Kautz, and Jiebo Luo. Inferring Home Location from User's Photo Collections based on Visual Content and Mobility Patterns. ACM Multimedia Conference, Workshop on Geotagging in Multimedia (GeoMM), November 2014.
Adam Sadilek and Henry Kautz (2012). Modeling Success, Failure, and Intent of Multi-Agent Activities Under Severe Noise. In Tom Lovett and Eamonn O'Neill, Eds., Mobile Context Awareness, Springe-Verlag, 2012, pp. 9-64. Capture the Flag Data Set.
Adam Sadilek, Henry Kautz and Jeffrey P. Bigham (2012). Finding Your Friends and Following Them to Where You Are. 5th ACM International Conference on Web Search and Data Mining (WSDM 2012). Seattle, WA, 2012. Best Paper Award.
Adam Sadilek and Henry Kautz (2012). Location-Based Reasoning about Complex Multi-Agent Behavior, Journal of Artificial Intelligence Research (JAIR), vol. 42, 2012, pp. 87-133.
Adam Sadilek and Henry Kautz (2010). Recognizing Multi-Agent Activities from GPS Data. 24th Conference on Artificial Intelligence (AAAI-2010), July 11–15, 2010, Atlanta, Georgia.
Adam Sadilek and Henry Kautz (2010). Modeling and Reasoning about Success, Failure and Intent of Multi-Agent Activities. UbiComp 2010 Workshop on Mobile Context-Awareness, Copenhagen, Denmark, Sept. 2010.
L. Liao, D. J. Patterson, D. Fox, and H. Kautz (2007). Learning and Inferring Transportation Routines. Artificial Intelligence 171(5-6) 2007, 311-331.
Lin Liao, Tanzeem Choudhury, Dieter Fox, and Henry Kautz (2007). Training Conditional Random Fields using Virtual Evidence Boosting. 20th International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, 2007. Click here for a poster.
L. Liao, D. Fox, and H. Kautz (2007). Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields. International Journal of Robotics Research, 26(1) 2007, pp. 119-134.
Lin Liao, Dieter Fox and Henry Kautz (2005). Location-Based Activity Recognition using Relational Markov Networks. 19th International Joint Conference on Artificial Intelligence (IJCAI-2005), Edinburgh, Scotland, 2005.
L. Liao, D. Fox, and H. Kautz (2005). Location-Based Activity Recognition. 19th Annual Conference on Neural Information Processing Systems (NIPS-2005), Whistler, BC, 2005.
Donald J. Patterson, Lin Liao, Krzysztof Gajos, Michael Collier, Nik Livic, Katherine Olson, Shiaokai Wang, Dieter Fox, and Henry Kautz (2004). Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services. Sixth International Conference on Ubiquitous Computing (UBICOMP-2004), Nottingham, England, 2004.
Lin Liao, Dieter Fox, and Henry Kautz (2004). Learning and Inferring Transportation Routines. 19th National Conference on Artificial Intelligence (AAAI-2004), San Jose, CA, 2004. Best Paper Award.
Lin Liao, Dieter Fox, Jeffrey Hightower, Henry Kautz and Dirk Schulz (2003). Voronoi Tracking: Location Estimation using Sparse and Noisy Data.. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), Las Vegas, NV, 2003.