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xM y8xyMxy1WeseekadenseeldG overimagecoordinates 22constrainedsuchthatGpGp8p2 Mp1andminimizestheenergyargminGZZ 5GG2stGj Gj 1ie4G0over stGj Gj forwhichadiscr. Presented by:. Akshay. Kumar. Pankaj. . Prateek. Are these similar?. Number ‘1’ vs. color ‘red’. Number ‘1’ vs. ‘small’. Horse vs. Rider. True vs. false . ‘. Monalisa. ’ vs. ‘Virgin of the rocks’. Bamshad Mobasher. DePaul University. Distance or Similarity Measures. Many data mining and analytics tasks involve the comparison of objects and determining . their . similarities (or dissimilarities). Corpora and Statistical Methods. Lecture 6. Semantic similarity. Part 1. Synonymy. Different phonological. /orthographic. words. highly related meanings. :. sofa / couch. boy / lad. Traditional definition:. Theory and Applications. Danai Koutra (CMU). Tina Eliassi-Rad (Rutgers) . Christos Faloutsos (CMU). SDM 2014. , Friday April 25. th. 2014, Philadelphia, PA. Who we are. Danai Koutra, CMU. Node and graph similarity,. RMSE=0.169,SSIM=0.775RMSE=0.147,SSIM=0.785RMSE=0.0610,SSIM=0.823referenceFig.1.Stanfordbunnymadeofwhitegrapefruitjuice[Narasimhanetal.2006].Itwasrenderedusingdifferentmodelsforsubsurfacescattering.Int Word . Similarity: . Distributional Similarity (I). Problems with thesaurus-based . meaning. We don’t have a thesaurus for every language. Even if we do, . they have problems with . recall. M. any . Jing . Zhang, . Jie. . Tang . , Cong . Ma . , . Hanghang. . Tong . , Yu . Jing . , and . Juanzi. . Li. Presented by Moumita Chanda Das . Outline. Introduction. Problem formulation. Panther using path sampling. CS159 . Fall . 2014. Admin. Assignment 4. Quiz #2 Thursday. Same . rules as quiz #1. First 30 minutes of class. Open book and . notes. Assignment 5 out on Thursday. Quiz #2. Topics. Linguistics 101. Parsing. By . Sudeep. . Gangavati. ID 1000717165. EE5359 Spring 2012, . UT Arlington. Objective and motivation. The goal – to compare H.264/AVC, AVS P2 and Dirac. Video quality assessment – MSE, PSNR, SSIM. Warm Up. Solve each proportion.. 1.. . . 2.. . 3.. 4. . If . ∆. QRS . ~ . ∆. XYZ. , identify the pairs of congruent angles and write 3 proportions using pairs of corresponding sides.. . Bamshad Mobasher. DePaul University. Distance or Similarity Measures. Many data mining and analytics tasks involve the comparison of objects and determining in terms of their similarities (or dissimilarities). Rosalia F. Tungaraza. Advisor: Prof. Linda G. Shapiro. Ph.D. Defense. Computer Science & Engineering. University of Washington. 1. Functional Brain Imaging. Study how the brain works . Imaging while subject performs a task . Jessica Chackoria. 1. , Brooke Nyberg. 1. , Melissa Vazquez. 1 . Suzanne Bell. 2. , . Alla. Vinokhodova. 3. , Vadim Gushin. 3. , Leslie DeChurch. 4 . , Noshir Contractor. 4 . 1. DePaul University, . Sketching, Locality Sensitive Hashing. SIMILARITY AND DISTANCE. Thanks to:. Tan, Steinbach, . and Kumar, “Introduction to Data Mining”. Rajaraman. . and . Ullman, “Mining Massive Datasets”. Similarity and Distance.