- New Arrivals
Fiction- Historical FictionCrime & ThrillersMysteryScience-FictionFantasyPoetryRomanceChildren’s BooksYoung Adult
- Biographies & MemoirsHistoryCurrent AffairsTech & ScienceBusinessSelf-DevelopmentTravelThe ArtsFood & WineReligion & SpiritualitySportsHumor
ListsGift CardsWhat To ReadMy ListsGames- About & Help
- About Tertulia
- Membership & Co-Ownership
- Shipping & Delivery
- Orders & Payments
- Contact Support
- Send App Feedback
- Follow us
- Download the app
The co-op bookstore for avid readers
Design and Analysis of Statistical Methods on Face Recognition
Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Dimensionality reduction has been a key problem in Face Recognition. Independent Component Analysis (ICA) is a recent approach for dimensionality reduction. Locality Preserving Projections (LPP) and linear collaborative discriminant regression methods are also a recently proposed new methods in pattern recognition for feature extraction and dimension reduction.
Book Details
- Publisher: LAP Lambert Academic Publishing
- Publish Date: Aug 18th, 2024
- Pages: 220
- Language: English
- Edition: undefined - undefined
- Dimensions: 9.00in - 6.00in - 0.50in - 0.72lb
- EAN: 9786208011147
- Categories: • Life Sciences - Biology