PPT-Local features: detection and description

Devi Parikh Slide credit Kristen Grauman 1 Disclaimer Most slides have been borrowed from Kristen Grauman who may have borrowed some of them from others Any time a slide did not already have a credit on it I have credited it to Kristen So there is a chance some of these credits are inaccurate. 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. . State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. Can you detect an abrupt change in this picture?. Ludmila. I . Kuncheva. School of Computer Science. Bangor University. Answer – at the end. Plan. Zeno says there is no such thing as change.... If change exists, is it a good thing?. . Each . feature set increases accuracy over the 69% baseline accuracy. .. Word Prominence Detection using Robust yet Simple Prosodic Features. Prosodic Features . ( . ** denotes novel features. ). 2011/12/08. Robot Detection. Robot Detection. Better Localization and Tracking. No Collisions with others. Goal. Robust . Robot . Detection. Long . Range. Short. . Range. Long Range. C. urrent . M. ethod. Twitter . A Behavioral Modeling . Approach. Ashwin. . Rajadesingan. , Reza Zafarani, and . Huan. . Liu. Sarcasm. . . a . nuanced form of language where usually, the user explicitly states the opposite of what she implies. . Source: D. Lowe, L. Fei-Fei. Canny edge detector. Filter image with x, y derivatives of Gaussian . Find magnitude and orientation of gradient. Non-maximum suppression:. Thin multi-pixel wide “ridges” down to single pixel width. 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. Flavio, Jon, Ravi, Mohammad, and Sandeep. Presented By:. Muthu. . Chandrasekaran. Published in . AAAI 2014. The . Outline. Big Picture. Contributions. Approach. Results. Discussion. 2. Event Detection Via Communication Pattern Analysis. Jian Pei. JD.com. & Simon Fraser University. Outlier Detection: Beauty and the Beast in Data Analytics. Subjectivity. Because of . …. Finding . Only Outliers Is . Not Useful. Every outlier detection algorithm bears some “model(s)” in mind. CS5670: Computer Vision. Announcements. Project 1 code due Thursday, 2/25 at 11:59pm. Turnin. via . Github. Classroom. Project 1 artifact due Monday, 3/1 at 11:59pm. Quiz this Wednesday, 2/24, via Canvas. A Behavioral Modeling . Approach. Ashwin. . Rajadesingan. , Reza Zafarani, and . Huan. . Liu. Sarcasm. . . a . nuanced form of language where usually, the user explicitly states the opposite of what she implies. .