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» Gaussian Process Models of Spatial Aggregation Algorithms
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ICIP
2010
IEEE
13 years 6 months ago
Entropies and cross-entropies of exponential families
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
Frank Nielsen, Richard Nock
ICIP
2009
IEEE
13 years 6 months ago
An automatic Structure-Aware image extrapolation applied to error concealment
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
ICIP
2005
IEEE
14 years 10 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
ASPDAC
2006
ACM
230views Hardware» more  ASPDAC 2006»
14 years 2 months ago
Statistical Bellman-Ford algorithm with an application to retiming
— Process variations in digital circuits make sequential circuit timing validation an extremely challenging task. In this paper, a Statistical Bellman-Ford (SBF) algorithm is pro...
Mongkol Ekpanyapong, Thaisiri Watewai, Sung Kyu Li...
ICASSP
2011
IEEE
13 years 18 days ago
A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems
Due to multipath delay spread and relatively high sampling rate in OFDM systems, the channel estimation is formulated as a sparse recovery problem, where a hybrid compressed sensi...
Chenhao Qi, Lenan Wu