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» Evaluating Statistical Power Optimization
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GLOBECOM
2009
IEEE
14 years 7 months ago
Optimizing Training-Based Transmission for Correlated MIMO Systems with Hybrid Feedback
Abstract--In this paper, we consider multiple-input multipleoutput (MIMO) communication systems with combined channel covariance feedback (CCF) and channel gain feedback (CGF), her...
Xiangyun Zhou, Tharaka A. Lamahewa, Parastoo Sadeg...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 4 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
3DPVT
2006
IEEE
162views Visualization» more  3DPVT 2006»
15 years 4 months ago
How Far Can We Go with Local Optimization in Real-Time Stereo Matching
Applications such as robot navigation and augmented reality require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most realtime stereo applic...
Liang Wang, Mingwei Gong, Minglun Gong, Ruigang Ya...
CVPR
2005
IEEE
15 years 12 months ago
Optimal Sub-Shape Models by Minimum Description Length
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
Georg Langs, Philipp Peloschek, Horst Bischof
ICPR
2010
IEEE
15 years 4 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...