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» Improving the DISPGB algorithm using the discriminant ideal
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ICCV
2007
IEEE
14 years 1 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
ICASSP
2011
IEEE
12 years 11 months ago
Source-normalised-and-weighted LDA for robust speaker recognition using i-vectors
The recently developed i-vector framework for speaker recognition has set a new performance standard in the research field. An i-vector is a compact representation of a speaker u...
Mitchell McLaren, David A. van Leeuwen
IDEAL
2005
Springer
14 years 1 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson
EMNLP
2004
13 years 9 months ago
Max-Margin Parsing
We present a novel discriminative approach to parsing inspired by the large-margin criterion underlying support vector machines. Our formulation uses a factorization analogous to ...
Ben Taskar, Dan Klein, Mike Collins, Daphne Koller...
ICMCS
2010
IEEE
271views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Motion vector refinement for FRUC using saliency and segmentation
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpol...
Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno...