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» Random Feature Maps for Dot Product Kernels
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TRECVID
2008
13 years 7 months ago
Oxford/IIIT TRECVID 2008 - Notebook paper
The Oxford/IIIT team participated in the high-level feature extraction and interactive search tasks. A vision only approach was used for both tasks, with no use of the text or aud...
James Philbin, Manuel J. Marín-Jimén...
GEOINFORMATICA
2002
136views more  GEOINFORMATICA 2002»
13 years 6 months ago
Tabu Search Heuristic for Point-Feature Cartographic Label Placement
The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to displ...
Missae Yamamoto, Gilberto Câmara, Luiz Anton...
CSL
2006
Springer
13 years 6 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
NIPS
2004
13 years 7 months ago
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM
In this paper we show that it is possible to model sensory impressions of consumers about beef meat. This is not a straightforward task; the reason is that when we are aiming to i...
Juan José del Coz, Gustavo F. Bayón,...
IJRR
2010
185views more  IJRR 2010»
13 years 4 months ago
FISST-SLAM: Finite Set Statistical Approach to Simultaneous Localization and Mapping
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequis...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma