PPT-GPU-Efficient Recursive Filtering and Summed-Area Tables

D Nehab 1 A Maximo 1 R S Lima 2 H Hoppe 3 1 IMPA 2 Digitok 3 Microsoft Research Linear shiftinvariant filters But use feedback from earlier outputs. unibonnde Homepage httpwwwinformatikunibonnderalf July 2007 Pick up the slides at ralftalkshtml56 1 23 brPage 2br Closed and Open Recursion RALF HINZE Introduction Recursive functions Recursive objects Recursive functions revisited Conclusion Ap Summed GDC 2005: Dynamic Glossy Environment Reflections Overview OverviewPresenting work started by Justin Hensley, Ph.D. student at UNC and a 2004 ATI Fellowship recipientSummed-area tablesUse for Embedded CPU-GPU Architectures. Xuntao Cheng. , Bingsheng He, Chiew Tong Lau. Nanyang Technological University, Singapore. 1. Outline. Motivations. System Design. Evaluations. Conclusion. 2. Query Processing in the Era of IoT. Section 5.3. 1. Section Summary. Recursively Defined Functions. Recursively Defined Sets and Structures. Structural Induction. Generalized Induction. 2. Recursively Defined Functions. . Definition. Jeremiah van Oosten. Reinier. van . Oeveren. Introduction. Related Works. Prefix Sums and Scans. Recursive Filtering. Summed-Area Tables. Problem Definition. Parallelization Strategies. Baseline (Algorithm RT). Richard . Socher. . Cliff . Chiung. -Yu Lin . Andrew Y. Ng . Christopher D. Manning . Slides. . &. . Speech:. . Rui. . Zhang. Outline. Motivation. . &. . Contribution. Recursive. . Neural. Leo Zhu. CSAIL MIT . Joint work with Chen, Yuille, Freeman and Torralba . 1. Ideas behind . Recursive Composition . How to deal with image complexity. A general framework for different vision tasks. Rich representation and tractable computation. D. Nehab. 1. A. Maximo. 1. R. S. Lima. 2. H. Hoppe. 3. 1. IMPA . 2. Digitok. . . 3. Microsoft Research. Linear, shift-invariant filters. But use feedback from earlier outputs. CS5670: Intro to Computer Vision. Noah Snavely. Hybrid Images, . Oliva. et al., . http://cvcl.mit.edu/hybridimage.htm. Lecture 1: Images and image filtering. Noah Snavely. Hybrid Images, . Oliva. et al., . “Patterns are everywhere you look”. Learning Target. By the end of section 3.1, I will be able to recognize a recursive pattern and find out the pattern, either increasing or decreasing.. Vocabulary. Ben Braun, Joe Rogers. The University of Texas at Austin. November 28, 2012. Why primitive recursive arithmetic?. Primitive recursive arithmetic is consistent.. Many functions over natural numbers are primitive recursive:. Chapter 13 Recursion Recursive Solution A recursive solution solves a problem by solving a smaller instance of the problem. Example How do we go about looking for a word in a dictionary? Two methods reflectivity . by . minimum. -delay. seismic trace decomposition. Milton J. . Porsani. Centro . de . Pesquisa. . em. . Geofísica. . e . Geologia. (CPPG/UFBA) and National. Institute of Science and Technology of Petroleum Geophysics (INCT-GP/CNPQ).. Cooperative Computing. Di Wu, Fan Zhang, . Naiyong. . Ao. , Gang Wang, . Xiaoguang. Liu, Jing Liu. Nankai. -Baidu Joint Lab, . Nankai. University. Introduction. Cooperative Model. GPU Batching Algorithm.