Feature selection and extraction

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 8244044
APP PUB NO 20090316986A1
SERIAL NO

12109347

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

Image feature selection and extraction (e.g., for image classifier training) is accomplished in an integrated manner, such that higher-order features are merely developed from first-order features selected for image classification. That is, first-order image features are selected for image classification from an image feature pool, initially populated with pre-extracted first-order image features. The selected first-order classifying features are paired with previously selected first-order classifying features to generate higher-order features. The higher-order features are placed into the image feature pool as they are developed or “on-the-fly” (e.g., for use in image classifier training).

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

International Classification(s)

  • [Classification Symbol]
  • [Patents Count]

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hua, Gang Redmond, US 131 1476
Liu, David Redmond, US 263 5445
Viola, Paul Redmond, US 47 1314

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation