'Matrix diagonalization' diaporamas de présentation

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 13: Latent Semantic Inde

783 views • 46 slides

CS276A Text Retrieval and Mining

CS276A Text Retrieval and Mining. Lecture 15. Thanks to Thomas Hoffman, Brown University for sharing many of these slides. Recap: Clustering 2. Hierarchical clustering Agglomerative clustering techniques Evaluation Term vs. document space clustering Multi-lingual docs Feature selection

564 views • 43 slides

Linear Algebra Review

Linear Algebra Review. CS479/679 Pattern Recognition Dr. George Bebis. n-dimensional Vector. An n -dimensional vector v is denoted as follows: The transpose v T is denoted as follows:. Inner (or dot) product.

781 views • 27 slides

Matrices

Matrices. CS485/685 Computer Vision Dr. George Bebis. Matrix Operations. Matrix addition/subtraction Matrices must be of same size. Matrix multiplication. m x n. q x p. m x p. Condition: n = q. Identity Matrix. Matrix Transpose. Symmetric Matrices. Example:. Determinants. 2 x 2.

257 views • 25 slides