How Long to Read Nonnegative Matrix and Tensor Factorizations

How Long Does it Take to Read Nonnegative Matrix and Tensor Factorizations?

It takes the average reader 8 hours and 20 minutes to read Nonnegative Matrix and Tensor Factorizations by Andrzej Cichocki

Assuming a reading speed of 250 words per minute. Learn more

Description

This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and image processing, and data analysis, having garnered interest due to their capability to provide new insights and relevant information about the complex latent relationships in experimental data sets. It is suggested that NMF can provide meaningful components with physical interpretations; for example, in bioinformatics, NMF and its extensions have been successfully applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining. As such, the authors focus on the algorithms that are most useful in practice, looking at the fastest, most robust, and suitable for large-scale models. Key features: Acts as a single source reference guide to NMF, collating information that is widely dispersed in current literature, including the authors’ own recently developed techniques in the subject area. Uses generalized cost functions such as Bregman, Alpha and Beta divergences, to present practical implementations of several types of robust algorithms, in particular Multiplicative, Alternating Least Squares, Projected Gradient and Quasi Newton algorithms. Provides a comparative analysis of the different methods in order to identify approximation error and complexity. Includes pseudo codes and optimized MATLAB source codes for almost all algorithms presented in the book. The increasing interest in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential reading for engineers, scientists, researchers, industry practitioners and graduate students across signal and image processing; neuroscience; data mining and data analysis; computer science; bioinformatics; speech processing; biomedical engineering; and multimedia.

How long is Nonnegative Matrix and Tensor Factorizations?

Nonnegative Matrix and Tensor Factorizations by Andrzej Cichocki is 500 pages long, and a total of 125,000 words.

This makes it 169% the length of the average book. It also has 153% more words than the average book.

How Long Does it Take to Read Nonnegative Matrix and Tensor Factorizations Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 23 minutes to read Nonnegative Matrix and Tensor Factorizations aloud.

What Reading Level is Nonnegative Matrix and Tensor Factorizations?

Nonnegative Matrix and Tensor Factorizations is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Nonnegative Matrix and Tensor Factorizations?

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