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» The complexity of estimating min-entropy
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JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Rademacher Complexities and Bounding the Excess Risk in Active Learning
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
Vladimir Koltchinskii
TWC
2010
13 years 2 months ago
Reduced-Complexity Joint Baseband Compensation of Phase Noise and I/Q Imbalance for MIMO-OFDM Systems
The maximum likelihood estimate of the impulse response of a frequency-selective channel in the presence of phase noise and I/Q imbalance is derived. The complexity of the joint es...
Rabie Rabiei, Won Namgoong, Naofal Al-Dhahir
ICIP
2010
IEEE
13 years 5 months ago
Compressed domain global motion estimation using the Helmholtz Tradeoff Estimator
Several algorithms for global motion estimation in video sequences using pixel- or block-based approaches have been published. Most known pixel-based methods lack in performance w...
Michael Tok, Alexander Glantz, Marina Georgia Arva...
TOG
2002
208views more  TOG 2002»
13 years 7 months ago
Video matting of complex scenes
This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon technique...
Yung-Yu Chuang, Aseem Agarwala, Brian Curless, Dav...
JMLR
2010
152views more  JMLR 2010»
13 years 2 months ago
Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua V. Dillon, Guy Lebanon