'Gaussian function' diaporamas de présentation

Image Features

Image Features. Kenton McHenry, Ph.D. Research Scientist. Raster Images. image(234, 452) = 0.58. [ Hoiem , 2012]. Neighborhoods of Pixels. For nearby surface points most factors do not change much Local differences in brightness. [ Hoiem , 2012]. Features. Interest points

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_________________________. Speech and Music Discrimination using Gaussian Mixture Model. Seminar Program. Project Team Dr. Deep Sen (Supervisor) CHOI Arthur, Tsz Kin (3015809) CHENG Derek, Ka Chun (3015631). _________________________. Speech and Music Discrimination using GMM.

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Linear Systems

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Lattice QCD Beyond Ground States

Lattice QCD Beyond Ground States. Huey-Wen Lin. Outline. Motivation and background Two-point Green function Black box methods Variational method Three-point Green function. Example: Roper ( P 11 ) Spectrum. First positive-parity excited state of nucleon (discovered in 1964)

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The Gaussian Kernel , Regularization

The Gaussian Kernel , Regularization. The Gaussian Kernel. The Gaussian kernel Normalization Cascade property, selfsimilarity The scale parameter Relation to generalized functions Separability Relation to binomial coefficients The Fourier transform of the Gaussian kernel

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Introduction and application. Dopant solid solubility and sheet resistance. Microscopic view point: diffusion equations.

Chapter 7 Dopant Diffusion. Introduction and application. Dopant solid solubility and sheet resistance. Microscopic view point: diffusion equations. Physical basis for diffusion. Non-ideal and extrinsic diffusion. Dopant segregation and effect of oxidation.

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11.2 Fourier transforms 11.2.1 One-dimensional transforms

Chapter 11 Fourier optics. April 15,17 Fourier transform. 11.2 Fourier transforms 11.2.1 One-dimensional transforms. Complex exponential representation :. In time domain:. Note: Other alternative definitions exist. Notations:. Proof:. ? Fourier transform ? ? Inverse Fourier transform ?.

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Point Source Photometry (Using HIPE)

Point Source Photometry (Using HIPE). Kevin Xu NHSC/IPAC on behalf of the SPIRE ICC. Outline. Timeline (Level-1) Fitting ( Recommended ) Aperture Photometry on Maps (Level 2, 2.5, 3) Source Detection & Photometry in Blank Fields HIPE Task: sourceExtractorSussextactor

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11.2 Fourier transforms 11.2.1 One-dimensional transforms

Chapter 11 Fourier optics. April 24 Fourier transform. 11.2 Fourier transforms 11.2.1 One-dimensional transforms. Real representation :. Complex exponential representation :. In time domain:. ? Fourier transform ? ? Inverse Fourier transform ?. Other alternative forms exist. Proof:.

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Presenter : Lin, Shu -Han Authors : Jeen-Shing Wang, Jen- Chieh Chiang

A cluster validity measure with a hybrid parameter search method for the support vector clustering algorithm. Presenter : Lin, Shu -Han Authors : Jeen-Shing Wang, Jen- Chieh Chiang. PR (2008 ). Outline. Introduction of SVC Motivation Objective Methodology Experiments

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SURF: Speeded Up Robust Features, ECCV 2006. Herbert Bay, Tinne Tuytelaars, and Luc Van Gool

SURF: Speeded Up Robust Features, ECCV 2006. Herbert Bay, Tinne Tuytelaars, and Luc Van Gool. Group Meeting Presented by Wyman 10/14/2006. Background. Local invariant Interest point detector-descriptor For finding correspondences between two images of the same scene or object

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NanoFab Trainer Update

NanoFab Trainer Update. Nick Reeder, April 11, 2014. Update to Exposure Code. New code creates UV intensity profile based on incident intensity , width of mask opening, distance of mask from surface, and thickness of resist layer.

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Primary and Secondary Interstellar Flow Analysis

Primary and Secondary Interstellar Flow Analysis. Xian Wu P. Bochsler , M. Lee, H. Kucharek , T. Leonard, E. Moebius. Outline. Brief explanation of the heliospheric interface and secondary neutral production Motivation of secondary component analysis

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Universe anisotropies probed by the alignment of structures in the CMB

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SIFT paper

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Update on PID studies for ITS upgrade

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Coronal Hole recognition by He 1083 nm imaging spectroscopy

Coronal Hole recognition by He 1083 nm imaging spectroscopy. O. Malanushenko (NSO) and H.P.Jones (NASA's GSFC). Tucson, Arizona, USA. Solar Image Recognition Workshop, Brussels, Belgium, 23- 24 October, 2003. Coronal Hole recognition by He 1083 nm imaging spectroscopy.

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Object Recognition

Object Recognition. Article: Distinctive Image Features from Scale -Invariant Keypoints. C. Pantofaru and M. Hebert. CMU Technical Report, September 2005. Xiang Li

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Object Recognition Using Distinctive Image Feature From Scale-Invariant Key point

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Development of Numerical Methods to Simulate Electron Dynamics in Real Time. Stephen Blama and Jia -An Yan Department of Physics, Astronomy and Geosciences, Towson University, Towson, MD 21252. Calculation Box Setup. Transmission through Multiple Potential Barriers. Introduction.

134 views • 1 slides