PPT-Affordance Prediction via Learned Object Attributes

Tucker Hermans James M Rehg Aaron Bobick Computational Perception Lab School of Interactive Computing Georgia Institute of Technology Motivation Determine applicable actions for an object of interest. The two assignments related to this problem. Learning is really important. The web has many sites designed to enable people to learn. Can we do that better? . The two assignments related to this problem. Ensemble Methods. Bamshad Mobasher. DePaul University. Ensemble methods. Use a combination of models to increase accuracy. Combine a series of k learned models, . M. 1, . M. 2, …, . Mk. , with the aim of creating an improved model . So far, you have written Python programs in a “Top Down” fashion using functions. Now we will learn a new way building and thinking about building software. OOP lets you represent real-life objects as software objects. Part 1. Damian Gordon. Object Orientation. An object is any tangible thing we can see touch and manipulate.. Object Orientation. Object Orientation. Software objects are models are similar in the sense that they have certain features and can do certain things.. An . Overview of the . ReGround. Project. Laura . Antanas. 1. , . Ozan. . Arkan. . Can. 2. , . Jesse . Davis. 1. , . Luc De . Raedt. 1. , . Amy . Loutfi. 3. , Andreas Persson. 3. , . Alessandro . Saffiotti. Attribute Detection. Kylie McCarty, Abdullah Jamal . (kyliemccarty@knights.ucf.edu, a_jamal@knights.ucf.edu). University of Central Florida. II. Datasets. I. Problem . III. Our Method . . Method 1: SVM. Marielle . Morris. May . 26, 2017. Project Goals. Attributes: . descriptive . labels. Ex. . a . trotting. horse. , a man with a . pointy. . nose. Identify and track attributes in videos. Focus . on time-dependent traits. Introductions. Please introduce a classmate.. What is your name?. Where are you from?. What is your major and minor?. What is your favorite movie or show?. What is your favorite comfort food and who makes it?. Sung . Ju. Hwang. 1. , . Fei. Sha. 2. and Kristen Grauman. 1. 1 University . of Texas at . Austin, 2 University of Southern California. Problem. Experimental results. Conclusion/Future Work. Worked for industry (Apple). Professor. First published in 1988. Does not focus on computer interfaces. Coined: user-centered design. Goal: . Motivate us to not accept bad design. Put forth design principles for good design. Chapter . 10. Creating Object Models. Object Models. The . UML class diagrams . used concerns . modeling object-oriented . systems or. , as I like to call it, . object-modeling. .. The . purpose of this . Kurt J. Marfurt (The University of Oklahoma). Satinder Chopra (Arcis). Attributes for Resource Plays. 7-. 1. 7-. 2. Course Outline. . A short overview of spectral decomposition. A short overview of geometric attributes. 2. Distributed objects. Distributed computing: part of the system located on separate computers. Distributed objects: allow objects running on one machine to be used by client applications on different computers. Describing Images. Farhadi . et.al. . CVPR 2009. No examples from these object categories were seen during training. Describing Objects by their Attributes. Farhadi . et.al. . CVPR 2009. Absence of typical attributes.