PPT-AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling

AdaScale Towards Realtime Video Object Detection using Adaptive Scaling TingWu Rudy Chin Ruizhuo Ding Diana Marculescu ECE Dept Carnegie Mellon University SysML 2019 Autonomous Cars. J. . Leverett. A. Pratt. R. . Hochman. May 2013 – EE241 Final Project. Introduction to ‘Spikes’. Frequency Range. 10-500Hz. Duration. 3-5ms. Resolution. 8-bit. ‘Spikes,’. a. lso called ‘action potentials,’ are when the electrical potential of a neuron rises shortly. It is part of the communication protocol of the brain. . Based on principle of Frequency shift property of Fourier Transform . MATLAB Simulation for Chirp Scaling . Pulse Compressed Chirp with no shift . Constant Shift Scaling function and shifted output, output shifted by 0.1 s . over. . ICN. draft-video-streaming-over-icn-01.txt. Updates on: . Open-Source Tools . for. DASH . over. CCN . Stefan Lederer. Adaptive Video Streaming over ICN. 1. Stefan . Lederer, Daniel . Posch. ECE . 7502 Class Discussion . Qing Qin. April 2, 2015. Requirements. Specification. Architecture. Logic / Circuits. Physical Design. Fabrication. Manufacturing Test. Packaging Test. PCB Test. System Test. Lachlan Andrew. Joint work with. Minghong. Lin,. . Caltech. Adam . Wierman. , . Caltech. Supported by ARC, NSF. speed. power. greener. faster. Systems must balance delay and energy use .  . Speed scaling. National Consultation on. Community Action for Health. October 28 - 29, 2014. Day One Proceedings . Context setting inaugural. Five thematic sessions:. State experiences of Community Based Planning and Monitoring – Bihar, Maharashtra and Tamil Nadu . Joseph J. Glavan. glavan.3@wright.edu . Joseph W. . Houpt. Wright State University. How are stimuli processed?. Multiple sources of information:. Color . and shape. Facial features. Curved and straight text features. Pochung Chen . 陳柏中. National . Tsing. . Hua. University, Taiwan. 10/14/2013, IWCSE, NTU. Acknowledgement. Collaborators. Zhi. -Long . Xue. (NTHU). Ian . P. . McCulloch (UQ, Australia). Ming-Chiang Chung (NCHU). Facebook AI Research. Wenchi. Ma. Data: 11/04/2016. More information from object detection. More information from object detection. More information from object detection. Object Detection for now with Deep Learning. Tom . Blenkinsop. School of Earth and Ocean Sciences. Cardiff University. NP3 – Scales, Scaling and Nonlinear . Variability. NP3.1/CL6.12/. SSS0.6 . Scales. , scaling and extremes in the . geosciences. Variation.. Rachel W. Soares, Luciana R. Barroso, Omar A. S. Al-Fahdawi. ..  . Zachry Department of Civil Engineering-Texas A&M University. 3136 TAMU, 199 Spence Street, College Station, TX, 77843-3136, USA.. Towards a Masquerade Detection System Based on User’s Tasks J. Benito Camiña , Jorge Rodr íguez, and Raúl Monroy Presentation by Calvin Raines What is a masquerade attack? password123 Hello <Your Name Here> Mohammad Seyedzadeh. , Alex Jones, Rami . Melhem. University of Pittsburgh. 2. . DRCAT: Dynamically . Reconfigured . Counter based . Adaptive Tree . Deep-scaled . D. RAM . C. ells. DRAM . C. ells. Wordline. Features of adaptive immunity:. Adaptive immunity is characterized by the following:. 1. Antigenic specificity: (. highly specific).. 2. Diversity : . ( each antigen there is specific T-cell and B-cell for it)..