The Future of Data Assimilation: 4D-Var or Ensemble Kalman Filter? Eugenia Kalnay Department of Meteorology and Chaos Group University of Maryland Chaos/Weather.
3D Geometry for Computer Graphics Class 2. The plan today Basic linear algebra review Eigenvalues and eigenvectors Why?? Manipulations of 3D objects.
1 High Performance Algorithms for Multiple Streaming Time Series Xiaojian Zhao Advisor: Dennis Shasha Department of Computer Science Courant Institute.
Växjö: 23. Jan -04Evaluation of Vector Space...1 Evaluation of Vector Space Models Obtained by Latent Semantic Indexing Leif Grönqvist ([email protected])
DATA MINING LECTURE 8 Dimensionality Reduction PCA -- SVD.
May, 2006IWASEP VI1 Accurate symmetric rank revealing and eigen decompositions of structured matrices Froilán M. Dopico Universidad Carlos III de Madrid.
K-SVD Dictionary-Learning for Analysis Sparse Models Michael Elad The Computer Science Department The Technion – Israel Institute of technology Haifa 32000,
High dynamic range imaging Digital Visual Effects, Spring 2006 Yung-Yu Chuang 2006/3/8 with slides by Fedro Durand, Brian Curless, Steve Seitz and Alexei.
Murad Megjhani MATH : 6397 1. Agenda Sparse Coding Dictionary Learning Problem Formulation (Kernel) Results and Discussions 2.
George Angeli 11 September, 2001 Current Concepts and Status of GSMT Control Systems.
Unsupervised Learning for Recognition Pietro Perona California Institute of Technology & Universita di Padova 11 th British Machine Vision Conference –
Computer Graphics Recitation 5. 2 Motivation – Shape Matching What is the best transformation that aligns the dinosaur with the dog?
