Back to Results
First PageMeta Content
One-shot learning / Shape context / Scale space / Part-based models / LabelMe / Object recognition / Pose / Linear classifier / Supervised learning / Computer vision / Vision / Imaging


Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-Jia Li*1 , Hao Su*1 , Eric P. Xing2 , Li Fei-Fei1 1 Computer Science Department, Stanford University 2 Machine
Add to Reading List

Document Date: 2013-09-22 18:29:30

Open Document

File Size: 2,63 MB

Share Result on Facebook

City

Zurich / /

Company

Object Bank So / LG / Detector Responses Spatial Pyramid Object Bank Representation / Images Object Bank / Object Bank / Google / The Object Bank Representation of Images Object / Microsoft / /

Facility

Stanford University / /

IndustryTerm

coordinate descent algorithm / vision applications / deep belief networks / sparsity learning algorithms / web-based tool / bank / j-th / subwindow search / art algorithms / texture filter banks / labeled web images / feature / bank representation / sion algorithm / /

Organization

Royal Statistical Society / SVM OB / Machine Learning Department / National Science Foundation / MIT / Stanford University / Carnegie Mellon University / U.S. Securities and Exchange Commission / Computer Science Department / /

Person

Jia Deng / Jia Li / Wei Yu / Figure / Alfred P. Sloan / Olga Russakovsky / Hao Su / Barry Chai / /

/

Position

cto / representative / s.t.d. / /

Product

Caltech101/256 / Classemes / Altec XT1 Speakers / /

PublishedMedium

Journal of the Royal Statistical Society / /

SportsLeague

Stanford University / /

Technology

sparsity learning algorithms / sliding windows / Sparsity algorithms / Machine Learning / sion algorithm / art algorithms / coordinate descent algorithm / /

SocialTag