BROWSE TOPICS

RESOURCES

ABOUT THIS SITE

 

Automated image analysis arises from handcraft and machine learning

In his recent doctoral dissertation for the Aalto University Department of Information and Computer Science, Ville Viitaniemi has studied methods for image analysis that are based on detection of visual categories. For a computer to know how to recognise and interpret images, it is useful to dissect them into prescribed categories," explains Viitaniemi. The three basic steps of the top-performing system of visual category detection are feature extraction, detection of the features, and the fusion of the results of the detection. Then the detection system is taught by methods of machine learning to detect the features from images.

Author: Publication Date: Crawl Date: Source: Topic: Contributor: Type: Language: Format:
May 24, 2012 May 27, 2012 Phys.Org via Google News Applications MachineLearning Vision NewsFinder Text English HTML

Whitelist words:

  1. imag analysi: 1 occurrence
  2. machin learn: 1 occurrence

Categorization (need >= 0.5 to match):

  1. AIOverview: 0.00789533
  2. Agents: 0.00391742
  3. Applications: 0.885444
  4. CognitiveScience: 0.360416
  5. Education: 0.00578475
  6. Ethics: 0.0018258
  7. Games: 0.00381133
  8. History: 0.0155075
  9. Interfaces: 0.0943279
  10. MachineLearning: 0.670427
  11. NaturalLanguage: 0.0200449
  12. Philosophy: 0.0060726
  13. Reasoning: 0.00667873
  14. Representation: 0.303455
  15. Robots: 0.00379795
  16. ScienceFiction: 0.00287704
  17. Speech: 0.0769204
  18. Systems: 0.0216479
  19. Vision: 0.943428

Duplicates (threshold=0.17):

Transcript:

  1. Published
Collections:
brokenlinkform:brokenlink
AAAI   Recent Changes   Edit   History   Print   Contact Us
Page last modified on May 28, 2012, at 12:00 AM