How Long to Read Extreme Value Theory-Based Methods for Visual Recognition

How Long Does it Take to Read Extreme Value Theory-Based Methods for Visual Recognition?

It takes the average reader 1 hour and 57 minutes to read Extreme Value Theory-Based Methods for Visual Recognition by Walter J. Scheirer

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

Description

A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the "average." From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.

How long is Extreme Value Theory-Based Methods for Visual Recognition?

Extreme Value Theory-Based Methods for Visual Recognition by Walter J. Scheirer 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 Extreme Value Theory-Based Methods for Visual Recognition Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 40 minutes to read Extreme Value Theory-Based Methods for Visual Recognition aloud.

What Reading Level is Extreme Value Theory-Based Methods for Visual Recognition?

Extreme Value Theory-Based Methods for Visual Recognition 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 Extreme Value Theory-Based Methods for Visual Recognition?

Extreme Value Theory-Based Methods for Visual Recognition by Walter J. Scheirer is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Extreme Value Theory-Based Methods for Visual Recognition by Walter J. Scheirer on Amazon click the button below.