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» The GLOBAL optimization method revisited
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ICML
2005
IEEE
14 years 8 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
WSCG
2004
142views more  WSCG 2004»
13 years 9 months ago
Metropolis Iteration for Global Illumination
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
László Szirmay-Kalos, Bálazs ...
ICIP
2008
IEEE
14 years 2 months ago
Macroblock-based retransmission for error-resilient video streaming
This paper revisits the problem of source-channel coding for error-resilient video streaming. We propose a new method to enable adaptive redundancy in the bitstream: fine-grain r...
J. Christian Schmidt, Kenneth Rose
ICASSP
2010
IEEE
13 years 7 months ago
Prior-based vanishing point estimation through global perspective structure matching
In this paper, we describe a prior-based vanishing point estimation method through global perspective structure matching (GPSM). In contrast to the traditional approaches which re...
Qi Wu, Wende Zhang, Tsuhan Chen, B. V. K. Vijaya K...
ICCV
2011
IEEE
12 years 7 months ago
Optimal Estimation of Vanishing Points in a Manhattan World
In this paper, we present an analytical method for computing the globally optimal estimates of orthogonal vanishing points in a “Manhattan world” with a calibrated camera. We ...
Faraz Mirzaei, Stergios Roumeliotis