'Low rank approximation' diaporamas de présentation

Information Retrieval and Search Engines

Information Retrieval and Search Engines. Lecture 8: Matrix Decompositions and Latent Semantic Indexing Prof. Michael R. Lyu. Motivation of This Lecture. Could we move beyond vector space model to discover semantics among words ?

849 views • 62 slides

Sketching as a Tool for Numerical Linear Algebra

Sketching as a Tool for Numerical Linear Algebra. David Woodruff IBM Almaden. Massive data sets. Examples Internet traffic logs Financial data etc. Algorithms Want nearly linear time or less Usually at the cost of a randomized approximation. Regression analysis. Regression

446 views • 30 slides

Information Retrieval in Text Part III

Information Retrieval in Text Part III. Reference: Michael W. Berry and Murray Browne. Understanding Search Engines: Mathematical Modeling and Text Retrieval . SIAM 1999. Reading Assignment: Chapter 4. Outline. Matrix Decompositions QR Factorization Singular Value Decomposition

407 views • 28 slides

Anders Eriksson and Anton van den Hengel CVPR 2010

246 views • 16 slides

Inference of Poisson Count Processes using Low-rank Tensor Data

285 views • 13 slides