Download Nearest-Neighbor Methods in Learning and Vision PDF Free - Full Version
Download Nearest-Neighbor Methods in Learning and Vision by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Nearest-Neighbor Methods in Learning and Vision
Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets. This volume presents theoretical and practical discussions of nearest-neighbor (NN) methods in machine learning and examines computer vision as an application domain in which the benefit of these advanced methods is often dramatic. It brings together contributions from researchers in theory of computation, machine learning, and computer vision with the goals of bridging the gaps between disciplines and presenting state-of-the-art methods for emerging applications. The contributors focus on the importance of designing algorithms for NN search, and for the related classification, regression, and retrieval tasks, that remain efficient even as the number of points or the dimensionality of the data grows very large. The book begins with two theoretical chapters on computational geometry and then explores ways to make the NN approach practicable in machine learning applications where the dimensionality of the data and the size of the data sets make the naïve methods for NN search prohibitively expensive. The final chapters describe successful applications of an NN algorithm, locality-sensitive hashing (LSH), to vision tasks.
Detailed Information
| Author: | Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
|---|---|
| Publication Year: | 2006 |
| Pages: | 263 |
| Language: | English |
| File Size: | 28.408 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Nearest-Neighbor Methods in Learning and Vision Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Nearest-Neighbor Methods in Learning and Vision PDF?
Yes, on https://PDFdrive.to you can download Nearest-Neighbor Methods in Learning and Vision by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Nearest-Neighbor Methods in Learning and Vision on my mobile device?
After downloading Nearest-Neighbor Methods in Learning and Vision PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Nearest-Neighbor Methods in Learning and Vision?
Yes, this is the complete PDF version of Nearest-Neighbor Methods in Learning and Vision by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Nearest-Neighbor Methods in Learning and Vision PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
