PPT-2. Numerical descriptors

The Practice of Statistics in the Life Sciences Third Edition 2014 WH Freeman and Company Objectives PSLS Chapter 2 Describing distributions with numbers Measure of center mean and median. et al et al et al brPage 2br i ii 2 GEOMETRY AND PARAMETERS Main Features Symbol Value brPage 3br 3 EXPERIMENTAL MEASUREMENTS pp pp brPage 4br RR F Fr Fr Fr Fr 4 NUMERICAL RESULTS brPage 5br Fr Fr 5 CONCLUSIONS Fr ACKNOWLEDGEMENTS REFERENCES brPage Categorization. . With. . Bags. of . Keypoints. Original . Authors. :. G.. . Csurka. , C.R. Dance, L. Fan, . J. . Willamowski. , C. Bray. ECCV Workshop on . Statistical. Learning in Computer – 2004. CSE P 576. Larry Zitnick (. larryz@microsoft.com. ). 20,000 images of Rome. =. ?. Large scale matching. How do we match millions or billions of images in under a second?. Is it even possible to store the information necessary?. . local. image . descriptors. . into. . compact. . codes. Authors. :. Hervé. . Jegou. Florent. . Perroonnin. Matthijs. . Douze. Jorge. . Sánchez. Patrick . Pérez. Cordelia. Schmidt. Presented. vision. Applications and Algorithms in CV. Tutorial . 9:. Descriptors. Visual Descriptors. Motivation::. Scene Classification. I. ntroduction. How to differentiate between scenes?. Applications and Algorithms in CV. Detection: . introduction. Approaches. Holistic detection: use local search window that meets . criterias. Part-based detection: pedestrian as a collection of parts (to be found!). Patch-based detection: local features matched against a (learned) codebook, then voting for final detection. 3 types of descriptors. :. SIFT / PCA-SIFT . (. Ke. , . Sukthankar. ). GLOH . (. Mikolajczyk. , . Schmid. ). DAISY . (. Tola. , et al, Winder, et al). Comparison of descriptors . (. Mikolajczyk. Madison Rose . Buhre. Senior Resident Assistant. Big 5 Personality Characteristics. Take the Assessment. 5 minutes. Questionnaire (7-point scale). Calm . …. Alert. Private . …. Social. Efficient . ATSIP Traffic Records Forum . August 9, 2016. Carol Tan, PhD, FHWA. Nancy Lefler, VHB. Overview . MIRE Background . Purpose of Project. Methodology. Recommended Revisions . Next Steps. Questions/Comments . Martyn. Clark. Short course on. “. Model building, inference and hypothesis testing in hydrology. ”. 21-25 May, 2012. Approach. Stick to very simple (yet robust) numerical methods. Simpler than those presented in “Numerical Recipes”. the Classroom Environment . and Culture. . and . Professional . Collaboration . and . Communication . Dimensions of 5D . Norms for Learning. Talk. Listen. Share ideas. Respect opinions and ideas shared. based on physicochemical . and structure descriptors. Matteo Lo Monte, . Ph.D. . 7. th . International Conference of Bioinformatics. October 2016, the . 24. th. -26. th. Rome. www.ADPr. edict. .net. orange handout . in your folder.. As we present, feel free to add notes and questions to the evaluation.. If you haven’t responded to the RSVP for today’s meeting, please take a moment to complete it now:. Lycium. . barbarum. (goji) puree. Monica . Rosa . Loizzo. 1,*. , . Antonio . Mincione. 1. , . Rosa . Tundis. 1. , . Vincenzo . Sicari. 2. 1. Department . of . Pharmacy, . Health and . Nutritional .