PPT-Detection of Misinformation

on Online Social Networking Group Members Sunghun Park Venkat Kotha Li Wang Wenzhi Cai Outline Problem Overview Current Solutions Limitations of Current Solutions Conclusion Our Solution. ABQ Leak Locator brings years of systems engineering and in-depth technical problem solving methodology to the table to apply toward benefiting its clients and customers. 02nT Faster cycle rates Up to 10Hz Longer range detection Pros brPage 5br Magnetometers Magnetometers Large distant targets mask small local targets Difficult to pick out small target due to background noise No sense of direction of target on single Kallol Dey. Rahul. . Mitra. Shubham. . Gautam. What is Spam ?. According to . wikipedia. … . Email spam, also known as junk email or unsolicited bulk email (UBE),is a subset of electronic spam involving nearly identical messages sent to numerous recipients by email. Clicking on links in spam email may send users to phishing web sites or sites that are hosting malware. . Discriminative part-based models. Many slides based on . P. . . Felzenszwalb. Challenge: Generic object detection. Pedestrian detection. Features: Histograms of oriented gradients (HOG). Partition image into 8x8 pixel blocks and compute histogram of gradient orientations in each block. Sarah Riahi and Oliver Schulte. School . of Computing Science. Simon Fraser University. Vancouver, Canada. With tools that you probably have around the . house. lab.. A simple method for multi-relational outlier detection. of Claw-pole Generators. Siwei Cheng. CEME Seminar, . April 2, 2012. Advisor . : Dr. Thomas G. Habetler. Condition Monitoring of Claw-pole Generators – Background. The heart of virtually all automotive electric power systems. Abstract. Link error and malicious packet dropping are two sources for packet losses in multi-hop wireless ad hoc network. In this paper, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop. . in . Social Media. Anupam Joshi. Oros. Family . Professor and Chair, CSEE. Director, UMBC Center for Cybersecurity. University of Maryland Baltimore . County. joshi@umbc.edu. Power of Social Media. 2. Student . Researchers:.  . Brandon . Davis. Wind Goodfriend. Jess Kisling. Kerry Moechnig. Jason Parker. Christi Prust. Research Questions:. Can the misinformation effect be obtained in a classroom under conditions where the students don’t not know anything unusual is occurring?. 1. Media Production . All content and information . needs to be approved . before it was aired or published by traditional "gatekeepers" such as newspaper editors, publishers and news shows. - in the 1970s and 1980s.. Misleading or Falsification? Inferring Deceptive Strategies and Types in Online News and Social Media. Authors: S. Volkova, J. . JanG. , Presenter: Maria . Glenski. Data Sciences and Analytics, National Security Directorate, Pacific Northwest National Laboratory. Dan M. Kahan. Yale University. & 10^3s of others!. Fake News, Toxic. Meanings, and Identity-Protective Cognition. Fake news. . . . . . . Fake news. . . . . .. compliments of . . Macedonia. !. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Face detection. Where are the faces? . Face Detection. What kind of features?. Xindian. Long. 2018.09. Outline. Introduction. Object Detection Concept and the YOLO Algorithm. Object Detection Example (CAS Action). Facial Keypoint Detection Example (. DLPy. ). Why SAS Deep Learning .