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Data fusion / Sparse matrix / Tracking / Mixed reality / Video tracking


Multiple Source Data Fusion via Sparse Representation for Robust Visual Tracking Yi Wu† Erik Blasch‡
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Document Date: 2011-05-24 19:38:01

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File Size: 1,59 MB

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City

Cholesky / Kernel / New York / /

Company

Mei / /

Currency

cent / /

/

Facility

Temple University / /

IndustryTerm

visual information processing system / sparse solution / sparse solutions / Online Learning / particle filter algorithm / related visual information processing systems / real world applications / naive solution / /

Organization

National Science Foundation / US Federal Reserve / Computer & Information Science Department / Temple University / Philadelphia / Electrical & Computer Engineering Department / Pattern Analysis and Machine Intelligence / /

Person

D. Comaniciu / V / Chen Li Bai / Erik Blasch‡ Genshe Chen / /

Position

Prime Minister / /

Product

Fusion / /

ProgrammingLanguage

T / /

ProvinceOrState

New York / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Communications on Pure and Applied Mathematics / IEEE Transactions on Information Theory / Journal of Machine Learning Research / /

Technology

proposed algorithm / compared algorithms / tracking algorithms / tested algorithms / Condensation / Machine Learning / particle filter algorithm / /

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