Machine learning in computer vision

Nicu Sebe

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4 hours

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Machine learning in computer vision

by Nicu Sebe

2005

Springer

240

1402032749

Description

It started withimageprocessing inthesixties. Back then, it took ages to digitize a Landsat image and then process it with a mainframe computer. P- cessing was inspired on theachievements of signal processing and was still very much oriented towards programming. In the seventies, image analysis spun off combining image measurement with statistical pattern recognition. Slowly, computational methods detached themselves from the sensor and the goal to become more generally applicable. In theeighties, model-drivencomputervision originated when arti?cial- telligence and geometric modelling came together with image analysis com- nents. The emphasis was on precise analysiswithlittleorno interaction, still very much an art evaluated by visual appeal. The main bottleneck was in the amount of data using an average of 5 to 50 pictures to illustrate the point. At the beginning of the nineties, vision became available to many with the advent of suf?ciently fast PCs. The Internet revealed the interest of the g- eral public im images, eventually introducingcontent-basedimageretrieval. Combining independent (informal) archives, as the web is, urges for inter- tive evaluation of approximate results andhence weak algorithms and their combination in weak classi?ers.

Frequently Asked Questions

How many pages are in Machine learning in computer vision?

This edition of Machine learning in computer vision has approximately 240 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Machine learning in computer vision?

For most readers, Machine learning in computer vision typically takes between 5h 0m and 3h 20m to complete. This is based on the book's length of approximately 60,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 0m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 60,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Machine learning in computer vision?

The estimated word count for Machine learning in computer vision is approximately 60,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Machine learning in computer vision?

Machine learning in computer vision was written by Nicu Sebe.

When was Machine learning in computer vision published?

The publication date for this specific edition is 2005. The original work may have been published on a different date.