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Activity recognition
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#	Item
191	2013 International Conference on Indoor Positioning and Indoor Navigation, 28 − 31st October[removed]Adaptive Pedestrian Activity Classification for Indoor Dead Reckoning Systems Sara Khalifa∗‡ , Mahbub Hassan∗‡ Add to Reading List Source URL: www.cse.unsw.edu.au Language: English - Date: 2014-01-23 19:27:05 Statistical classification Support vector machine Classifier Perceptron Activity recognition Statistics Machine learning Artificial intelligence
192	TAS_K-2_Recognition_Certificate Add to Reading List Source URL: oklahoma4h.okstate.edu Language: English - Date: 2013-10-08 15:54:15 Social psychology Persecution Aggression Bullying Life School bullying The Bully: A Discussion and Activity Story Ethics Behavior Abuse
193	A Performance Model of Pedestrian Dead Reckoning with Activity-based Location Updates Mahbub Hassan School of Computer Science and Engineering The University of New South Wales Sydney 2052, Australia Add to Reading List Source URL: www.cse.unsw.edu.au Language: English - Date: 2012-10-01 02:22:46 Random walk Type I and type II errors Markov chain Dead reckoning Mobility model Accuracy and precision Activity recognition Statistics Stochastic processes Biostatistics
194	2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU) Feature Selection for Floor-changing Activity Recognition in Multi-Floor Pedestrian Navigation Sara Khalifa∗‡ , Mahbub Hassa Add to Reading List Source URL: www.cse.unsw.edu.au Language: English - Date: 2014-01-23 19:11:42 Bayesian statistics Naive Bayes classifier Classifier Feature selection Weka Support vector machine Pattern recognition Perceptron Statistics Statistical classification Machine learning
195	Real-Time Crowd Labeling for Deployable Activity Recognition Walter S. Lasecki, Young Chol Song, Henry Kautz, and Jeffrey P. Bigham University of Rochester Computer Science {wlasecki, ysong, kautz, jbigham}@cs.rochester. Add to Reading List Source URL: www.cs.rochester.edu Language: English - Date: 2012-12-11 18:12:18 Technology Automatic identification and data capture Machine learning Radio-frequency identification Wireless Activity recognition Surveillance Human factors Pattern recognition Ethics Science Privacy
196	Video-Recording Your Life: User Perception and Experiences Daniel Buschek, Michael Spitzer, Florian Alt Media Informatics Group, University of Munich (LMU) Amalienstr. 17, 80333 Munich, Germany {daniel.buschek, florian.a Add to Reading List Source URL: www.medien.ifi.lmu.de Language: English - Date: 2015-02-13 04:35:37 Artificial intelligence Science Knowledge Accelerometers Video clip Activity recognition
197	What, Where and Who? Telling the Story of an Image by Activity Classiﬁcation, Scene Recognition and Object Categorization Li Fei-Fei and Li-Jia Li Abstract We live in a richly visual world. More than one third of the Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:29:53 Artificial intelligence Object recognition One-shot learning Vision Computer vision Imaging
198	______________________________________________________ OECD ACTIVITY ON RECOGNITION OF NON-FORMAL AND INFORMAL LEARNING Add to Reading List Source URL: www.oecd.org Language: English - Date: 2014-07-04 12:14:05 Vocational education Secondary education Tertiary education Higher education High school Basic education Further education Education in Slovakia Education Educational stages International Standard Classification of Education
199	Human Activity Recognition in the Context of Industrial Human-Robot Interaction Alina Roitberg† , Alexander Perzylo∗ , Nikhil Somani∗ , Manuel Giuliani∗ , Markus Rickert∗ , and Alois Knoll† † Technische Un Add to Reading List Source URL: www6.in.tum.de Language: English - Date: 2014-10-20 08:30:00 Infrared imaging Kinect Webcams Gesture recognition Activity recognition Finger tracking Robotics Human–robot interaction Supervised learning Humanâ€“computer interaction Artificial intelligence Computer vision
200	Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities Bangpeng Yao Li Fei-Fei Computer Science Department, Stanford University, USA {bangpeng,feifeili}@cs.stanford.edu Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:30:03 Imaging Pose Object recognition Segmentation Activity recognition One-shot learning Scale-invariant feature transform Computer vision Artificial intelligence Vision

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