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... Viola and ... In preparation for Viola and Jones. New parameter. Strong classifier ... false negatives to cost more (Viola and Jones). Use loss function: ...
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Practical Issues with SVM. Handwritten Digits: US Post Office, MNIST Datasets. No Handout. ... US Post-Office database. MNIST database. Issues with real problems: ...
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Dynamic Programming & Hidden Markov Models. Alan Yuille Dept. Statistics UCLA Goal of this Talk This talk introduces one of the major algorithms: dynamic programming ...
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Dimension Reduction & PCA Prof. A.L. Yuille Stat 231. Fall 2004. Curse of Dimensionality. A major problem is the curse of dimensionality. If the data x lies in high ...
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Title: Slide 1 Author: Statistics Administrator Last modified by: aa Created Date: 1/3/2003 11:26:30 PM Document presentation format: On-screen Show
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Title: No Slide Title Author: dwj Last modified by: dwj Created Date: 11/2/2000 9:50:58 PM Document presentation format: On-screen Show Company: NEC Research Institute
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Title: No Slide Title Author: Jean Ponce Last modified by: Jean Ponce Created Date: 4/10/2001 9:11:05 PM Document presentation format: On-screen Show
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Deriving intrinsic images from image sequences. Yair Weiss, 2001. 6.899 Presentation by ... Trivial solution: R=1, L=I. Multiple images: I(x,y,t) = L(x,y,t)R(x,y) ...
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Title: PowerPoint Presentation Last modified by: Georgios Giannakis Created Date: 1/1/1601 12:00:00 AM Document presentation format: Letter Paper (8.5x11 in)
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Eye Witness Testimony EWT Homework Summarise the work you have covered today as bullet points of the main points or a mind map. Include Definition of leading ...
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Outline: The problem Lighting models Shape from shading Photometric stereo Harmonic analysis of lighting
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Stat 231 concentrates on Discriminative Methods and simple Generative Models. ... Both Generative and Discriminative methods require training data to learn the ...
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Lighting affects appearance
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Increase independence of people with low vision (specially blind) to perform ... MoZi is a combination of the Mobile Vision System (MoVs) and ZigZag ...
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Tu et al ICCV03 Image parsing: segmentation, detection, and recognition. ... Large number of freedom degrees in tentacles configuration- requires a complex ...
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Do children make good witnesses?
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Unsupervised Learning for Recognition Pietro Perona California Institute of Technology & Universita di Padova 11th British Machine Vision Conference Manchester ...
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the problem: effects of pre-training on blocking in humans and animals. a work-in-progress solution: causal learning as ... act 1: introducing the problem ...
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AI workers thought that vision was 'low- level' and easy. Prof. Marvin Minsky (pioneer of AI) ... Artificial Intelligence Community preferred Chess to Vision. ...
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Burl, Leung, Perona 95, 96, 98. Tanaka et al., 1993. Perrett & Oram, 1993. A. Deformations ... [From Burl, Weber & Perona - CVPR 1996] Optimal observer detection ...
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... Graham; Covell; Cui and Weng; Daily and Cottrell; Demir, Akarun, and ... Kagesawa, Ueno, Kasushi, and Kashiwagi; King and Xu; Kalocsai, Zhao, and Elagin; ...
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Moderators of the Strength of Deception Cues. Intro. Reasons for ... Miguel: tejada@interchange.ubc.ca. Krista: krista_rae81@hotmail.com. Phone: (604) 822-6130 ...
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Winkler, 1995, p. 32. MRF nodes as patches. image patches. F(xi, ... Winkler, 1995. Outline of MRF section. Inference in MRF's. Iterated conditional modes (ICM) ...
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Glaucoma. Recall, the image is formed by the Rods and Cones on the retina. ... Three Major Eye Diseases: Cataracts, Glaucoma, Age-Related Macular Degeneration. ...
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I = Image pixels (observed) h = foreground/background labels (hidden) one label per pixel ... be similar only if pixel colors are. similar Contrast term ...
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Iterations 0 and 1 Inference: Image data Motion estimation results Figure/ground still unresolved here. (maxima of scene probability distributions displayed) ...
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relaxation (imagery) distancing (TV screen) regression (context induction) ... Relaxation and surrendering control (Wagstaff, 1982) Hypnosis: More than the ...
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Given an image and object category, to segment the object ... Parts in Layer 2 can occlude parts in Layer 1. Spatial Layout (Pairwise Configuration) ...
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Title: No Slide Title Author: Graham Hole Last modified by: Graham Hole Created Date: 10/22/2002 9:10:46 AM Document presentation format: On-screen Show (4:3)
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An Overview of Face Recognition Using Eigenfaces Acknowledgements: Original Slides from Prof. Matthew Turk-- also notes from the web-Eigenvalues and Eigenvectors
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The Importance of Retrieval Failures to Long-Term Retention: A ... Ben Gurion University. 37. 10. Ohio State University. 33. 49. 17. Ohio Wesleyan University ...
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Wavelets: Motivation, Construction, & Application Jackie (Jianhong) Shen School of Math, University of Minnesota, Minneapolis www.math.umn.edu/~jhshen
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... suggest non-Whites and non-German suspects are more likely to ... 'Own-age' bias (Wright and Stroud 2002; Anastasi and Rhodes 2006; Perfect and Moon 2005) ...
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PSYA1: Eye Witness Testimony EWT Eye Witness Testimony -1 BATs AO1 - outline what is meant by the terms EWT and Leading questions A01/2 -Discuss the factors that ...
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Appearance models, deformable templates, lighting models, facial action units, ... 9. H. Chen, Y. Q. Xu, H. Y. Shum, S. C. Zhu, and N. N. Zhen, 'Example-based ...
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Intro to Pattern Recognition : Bayesian Decision Theory 2. 1 Introduction 2.2 Bayesian Decision Theory Continuous Features Materials used in this course were taken ...
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Maximum Entropy Learning (CAMEL) Varun Ganapathi, David Vickrey, John Duchi, Daphne Koller ... Read the TexPoint manual before you delete this box.: AAAAAAAAAA ...
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Given an image and object category, to segment the object ... Ariadna Quattoni Michael Collins Trevor Darrell. OBJCUT. Probability of labelling in addition has ...
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Recovering Occlusion Boundaries from a Single Image
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Every person who inveigles or entices any unmarried female, of previous chaste ... night with a pair of heels and mini skirt and took me outside and told me to ...
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Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
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No polynomial of degree 1. Infinite polynomial of degree 3 ... Sck xn-k yk. GPCA 2D Case Cont'd. Take n = 2 for example... p2(x) = (b11x b12y)(b21x b22y) ...
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Sliding window detection
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Occlusion, lighting, etc. Representation Of Deformable Object. Idea: From Flat MRF to Hierarchical Composition Model ... Summarization Principle: make ...
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Professional Development with staff. Baden Powell. Arts/Technology Centre ... we also hope to continue to have an input in the building of the new school. ...
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Sir Ronald Ross (1902) for discovery of mode of. spread of Malaria ... Professor Rodney Robert Porter (1972) for structure. of antibodies ...
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Parametric statistical models ... From Ukraine. Criterion: Comparison with parametric approaches. Algorithm adapted to Gamma PDF ...
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PCA is Least-Square Fit. PCA is Least-Square Fit. Robust Statistics. Recover the best fit for the majority of the data. Detect and reject outliers. Robust PCA ...
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Tarchanoff did not applied current, and observed that there were natural ... (1967) found that the amplitude of palmar SCRs and SPRs and the amplitude of ...
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Quantities are encoded as rate codes in ensembles of 50-100 ... V1 surface and vasculature under green illumination. Orientation Columns and Array Recordings ...
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456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz GpSs tFTO ... ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ...
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Part 2: partbased models
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La valoraci n de la credibilidad del testimonio. ... Madres sometidas. Comunicaci n deficiente entre los miembros de la unidad familiar. ...
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