PPT-Embodied Learning of Qualitative Models

Jure Žabkar Exploration and Curiosity in Robot Learning and Inference DAGSTUHL March 2011 joint work with xpero partners problem How should a robot choose its actions. lessons for instructors from qualitative longitudinal research into the acceptance and adoption of technology. 6. th. NCRM Methods Festival, July 2014. St Catherine’s College, University of Oxford. Historical Introduction with a Focus on Parallel Distributed Processing Models. Psychology 209. Stanford University. Jan 7, 2013. Early History of the Study of Human Mental Processes. Introspectionism (Wundt, Titchener). In collaboration with:. Elizabeth Whitaker, Erica Briscoe, Ethan . Trewhitt. , . Georgia Tech. Kevin Murphy, Frank Ritter, John . Horgan. , Penn State. Caroline Kennedy-Pipe, . Univ. of Hull. Presented to:. Chapter 14 . The pinhole camera. Structure. Pinhole camera model. Three geometric problems. Homogeneous coordinates. Solving the problems. Exterior orientation problem. Camera calibration. 3D reconstruction. Jure Žabkar. Exploration and Curiosity in Robot Learning and Inference. , . DAGSTUHL, March 2011. joint work with xpero partners. problem. “. How should. . a robot. . choose. . its. . actions. Oregon Library Association Conference, April 8, 2011. Hannah Gascho . Rempel, Uta Hussong-Christian, . Margaret Mellinger. Introduction. The Map. Definitions/Best Practices. Case Study at OSU Libraries. Machine Learning @ CU. Intro courses. CSCI 5622: Machine Learning. CSCI 5352: Network Analysis and Modeling. CSCI 7222: Probabilistic Models. Other courses. cs.colorado.edu/~mozer/Teaching/Machine_Learning_Courses. Director of Integrative Learning and Knowledge Management, Stephen M. Ross School of Business, University of . Michigan. Contact: . melpeet@umich.edu. . Preparing Students for a World of Constant Change: Facilitating Integrative Learning and Lifelong Learning . Chapter . 2 . Introduction to probability. Please send errata to s.prince@cs.ucl.ac.uk. Random variables. A random variable . x. denotes a quantity that is uncertain. May be result of experiment (flipping a coin) or a real world measurements (measuring temperature). 1. Overview. I will explore Embodied Interaction, looking into its:. Presence in Tangible and Social computing. Philosophical Background. The foundation it creates for HCI. Its effect on HCI . design. SECM. /15/162. D.M.K.W. . Dissanayake. C. . Jayasinghe. . University of . Moratuwa. Content. Background. Life Cycle Analysis. Embodied Energy of Building . Components. Methodology. Energy consumption at production of building materials (E. Chapter 19 . Temporal models. 2. Goal. To track object state from frame to frame in a video. Difficulties:. Clutter (data association). One image may not be enough to fully define state. Relationship between frames may be complicated. Fieldwork Training in . Country / Program. ECCN SLE Qualitative Assessment Toolkit . Agenda. Overview (45 min). Purpose of research / Broad research question. Methodology overview. Field methodology details. Machine Learning/Computer Vision. Alan Yuille. UCLA: Dept. Statistics. Joint App. Computer Science, Psychiatry, Psychology. Dept. . Brain and Cognitive Engineering, Korea University. Structure of Talk.