How Long to Read Image Understanding using Sparse Representations

How Long Does it Take to Read Image Understanding using Sparse Representations?

It takes the average reader 1 hour and 57 minutes to read Image Understanding using Sparse Representations by Jayaraman J. Thiagarajan

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

Description

Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms for obtaining sparse representations and their performance guarantees are discussed in the initial chapters. Furthermore, approaches for designing overcomplete, data-adapted dictionaries to model natural images are described. The development of theory behind dictionary learning involves exploring its connection to unsupervised clustering and analyzing its generalization characteristics using principles from statistical learning theory. An exciting application area that has benefited extensively from the theory of sparse representations is compressed sensing of image and video data. Theory and algorithms pertinent to measurement design, recovery, and model-based compressed sensing are presented. The paradigm of sparse models, when suitably integrated with powerful machine learning frameworks, can lead to advances in computer vision applications such as object recognition, clustering, segmentation, and activity recognition. Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting theoretical fundamentals in sparse learning, this book provides a platform for interested readers to explore the vastly growing application domains of sparse representations.

How long is Image Understanding using Sparse Representations?

Image Understanding using Sparse Representations by Jayaraman J. Thiagarajan is 115 pages long, and a total of 29,325 words.

This makes it 39% the length of the average book. It also has 36% more words than the average book.

How Long Does it Take to Read Image Understanding using Sparse Representations Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 40 minutes to read Image Understanding using Sparse Representations aloud.

What Reading Level is Image Understanding using Sparse Representations?

Image Understanding using Sparse Representations is suitable for students ages 10 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 Image Understanding using Sparse Representations?

Image Understanding using Sparse Representations by Jayaraman J. Thiagarajan is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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