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» Improving the DISPGB algorithm using the discriminant ideal
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ICCV
2007
IEEE
15 years 4 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
97
Voted
ICASSP
2011
IEEE
14 years 1 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
15 years 3 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
76
Voted
EMNLP
2004
14 years 11 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»
14 years 10 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...