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Diagonal representation of shift invariant linear transforms. ... Bandelet Curvelet (Several implementations) Finite Ridgelet Transform. Platelet (W-)Edgelet ...
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... Earth's surface with POLDER. http://polder.cnes.fr. Introduction - Motivations ... imaging the Earth's surface with POLDER - mapping CMB fluctuations with WMAP ...
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Sub-band Decomposition. Low-pass filter 0 deals with low frequencies ... P0 f is 'smooth' (low-pass), and can be efficiently represented using wavelet base. ...
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Multiscale transforms : wavelets, ridgelets, curvelets, etc. Outline : The Fourier transform Time-frequency analysis and the Heisenberg principle
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seismic demigration/migration velocity estimation. Conclusions ... Demigration/migration. Sensitivity of the migrated result with respect to the velocity ...
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Wedgelets: A Multiscale Geometric Representation for Images Michael Wakin Rice University dsp.rice.edu Joint work with Richard Baraniuk, Hyeokho Choi, Justin Romberg
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Parsing Images with Context/Content Sensitive Grammars Eran Borenstein, Stuart Geman, Ya Jin, Wei Zhang
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Visualization and Networking Toolkits with Wavelets Gordon Erlebacher Florida State University David A. Yuen University of Minnesota
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Martin Vetterli, 'Wavelets, approximation and compression: Beyond JPEG2000,' San ... Martin Vetterli, 'Fourier, wavelets and beyond: the search for good bases for ...
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Bayesian framework: MAP estimate X as Markov Random Field (MRF) - Gibbs distribution for X Anisotropic prior terms log-Euclidean TV edge preserving priors in space
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Fit Sketch Model on S (ignoring c and e) Math representations of sketch. List: Bit-map: Causal model for sketch. Pairwise interactions. Soatto,Doretto,Wu, ICCV 2001 ...
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Title: Sparse Representations and the Basis Pursuit Algorithm Author: Michael Elad Last modified by: elad Created Date: 10/21/2002 9:14:30 PM Document presentation format
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Perfect reconstruction conditions (PR) Reversibility of the transform ... Correspondingly. Gloria Menegaz. 51. Separable bases. Gloria Menegaz. 52. Separable bases ...
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Outline Statistical Modeling and Conceptualization of Visual Patterns S. C. Zhu, Statistical modeling and conceptualization of visual patterns, IEEE ...
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... (G-norms and taut string methods) Ali Haddad, Yves Meyer, Jerome Gilles - Osher-Goldfarb-Yin (SOCP), Osher-Kindermann-Xu Levine (duality), Le-V (F), Lieu-V, ...
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TEMPLAR: Template Learning from Atomic Representations ... Why Does TEMPLAR Work? ... TEMPLAR: Linear-time algorithm for automatically learning low-dimensional ...
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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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Scalable Scientific Applications Characteristics & Future Directions Douglas B. Kothe And Richard Barrett, Ricky Kendall, Bronson Messer, Trey White
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Build a cartoon using wedgelets on dyadic squares. r. Wedgelet Representation ... Block size is 2-j x 2-j. C2 curve contained in strip with width ~ length2 ...
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Part 2: partbased models
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... to obtain the best dictionary ?. ... The Dictionary: Our dream - Solve: known ... Coifman's dream The concept of combining transforms to represent efficiently ...
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DOCTYPE plist PUBLIC '-//Apple Computer//DTD PLIST 1.0//EN' 'http://www.apple. ... key com.apple.print.PageFormat.PMHorizontalRes /key dict ...
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Determination of the cost of the service as a function of the features of the ... Matrices of photo sensors collecting photons of given wavelength. Features: ...
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The Computer Science Department. Scientific Computing & Computational ... Mutual Incoherence. M mutual incoherence between and . Properties. Generally, ...
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Colloquium Honoris Causa, Oct. 10th 2005. Can wavelets help ... What about computer audition ? Simple acoustic model = approximate. room acoustics = convolution ...
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with high probability, pruned coarse partition close. to optimal coarse partition ... square containing a boundary fragment is pruned in the first stage (this may ...
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Not considered state-of-the-art. Multivariate MFs. Complicated. Superior results ... Substituting the boundary vector q with a different vector p forms a ...
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Signal Processing: 'Adaptive' affine. time-frequency representation ... Affine diffusion. Time-scale covariant heat equations. Axiomatic approach of multiscale ...
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Dr. Aysegul Cuhadar (Carleton SCE) Dr. Rob deKemp ... PET and its use in cardiology. Wavelets and wavelet-based denoising ... Background PET in cardiology ...
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Sapphire/IKF 2. CASC. Many data mining applications require removing ... Sapphire/IKF 3. CASC. We explore wavelet-based and spatial filter-based 2D ... Sapphire ...
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From old-fashioned local models to newly-proposed nonlocal models ... language for interpreting such principle (multifractal formalism is another) ...
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Title: SIAM Conf. Imaging Science, 2001 Author: Jackie Shen Last modified by: Jackie Shen Created Date: 6/25/2001 9:45:05 PM Document presentation format
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Workshop on Regularization in Statistics ... Topological Regularization: Generic Viewpoint Principle. Geometric Regularization: Perception & Role of Curvature ...
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Workshop on Perceptual Organization in Computer Vision 2006, New York ... as a cluster which can be succinctly described by a polygon in this space. ...
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Lecture 9 Bag of Words models
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Spatial Processes and Image Analysis. Yassir ... Signals and images grouped in terms of regularity properties : ... Example (1) : low pass spatial filter ...
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... occurrences statistics of model centroids (that identify ... model for each window s.t: ... construct histogram bins s.t. each bin will contain ...
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Philippe Naveau. Multi-Resolution Analysis. An introduction to wavelets ... Late Maunder Minimum: Very cold winters, particularly in Europe. Aert van der Neer ...
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UCRL-PRES-145087: The work of Chandrika Kamath in ... University of California Lawrence Livermore National ... Genetic algo. FITS. netCDF. View ...
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Vj is a subspace of L2(R), Aj is a projection operator (idempotent) ... As Aj is a projection operator (idempotent): then. and we know that ...
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Computational Mathematics at the Oak Ridge National Laboratory
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XIII. Applications of Time Frequency Analysis (1) Finding Instantaneous Frequency (2) Signal Decomposition (3) Filter Design (4) Sampling Theory
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Contourlet Student: Chao-Hsiung Hong Advisor: Prof. Hsueh-Ming Hang Outline Introduction Curvelet Transform Contourlet Transform Simulation Results Conclusion ...
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Predicting Wavelet Coefficients Over Edges Using Estimates ... There is method to the denoise, denoise, ..., denoise madness. No explicit statistical modeling. ...
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PG Embedded Systems www.pgembeddedsystems.com #197 B, Surandai Road Pavoorchatram,Tenkasi Tirunelveli Tamil Nadu India 627 808 Tel:04633-251200 Mob:+91-98658-62045 General Information and Enquiries: g12ganesh@gmail.com
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A paper by Emmanuel Candes, Justin Romberg, and Terence Tao. Application ... recovery, so it is helpful to minimize the TV-norm instead of the l1 norm. ...
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Hidden Markov Tree Model. of the Uniform Discrete Curvelet ... Kurtosis=3.51 ~Gaussian. Hidden Markov Tree (HMT) Model. Conditional distribution is Gaussian ...
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Computing the power spectrum: iterative least-squares fitting of sine waves (SWF) ... 2-order polynomial fit (in log-log parameter space) to the background noise ...
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Cropped. 39. 55. 56. 50. 140. Segmented. Spleen. Kidney. Liver. Heart. Backbone. Organs. The image might need to be cropped, when using filters that are sensitive to ...
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