| Document Date: 2007-11-28 11:17:04
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City Berlin / / Company IBM / Submitted Systems / M Lc / Geo / / Country Taiwan / United States / / Facility Carnegie Mellon University / Columbia University / / IndustryTerm on-line queries / grid search / random subspace bagging algorithms / search experiments / ensemble learning algorithms / fusion processing / interactive search task / level feature detection algorithms / visual-based concept detection systems / inner product / supervised learning algorithm / question-answering applications / meta-level learning algorithms / external web pages / parameter search / interactive search system / semantic search / concept detection systems / generic learning algorithms / web images / automatic search system / automatic search / query-dependent search fusion / exhaustive search / search task / search-based results / semantic search enFusion / search engine / grid search strategy / search results / interactive search results / learning algorithm / interactive search / learning algorithms / search methods / energy / / NaturalFeature ASR/MT / / Organization School of Computer Science / Columbia University / Carnegie Mellon University / / Person Hu Jintao / Jelena Te / Namedperson / Alexander Haubold / Apostol (Paul) Natsev / Ming Liu / Vector Machines / Rong Yan / John R. Smith / Jun Yang / / Position Model / president / representative / General / model / semantic and visual retrieval scores / / Technology learning algorithm / computational resources Algorithm / generic learning algorithms / supervised learning algorithm / high-level feature detection algorithms / ensemble learning algorithms / search engine / meta-level learning algorithms / random subspace bagging algorithms / /
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IBM Research TRECVID-2007 Video Retrieval System Murray Campbell∗, Alexander Haubold†, Ming Liu‡, Apostol (Paul) Natsev∗, John R. Smith∗, Jelena Teˇsi´c∗, Lexing Xie∗, Rong Yan∗, Jun Yang§ Abstract In