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NC
1998
140views Neural Networks» more  NC 1998»
13 years 8 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
ICASSP
2010
IEEE
13 years 5 months ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...
ISBI
2008
IEEE
14 years 8 months ago
Integrated profiling of cell surface protein and nuclear marker for discriminant analysis
Cell membrane proteins play an important role in tissue architecture and cell-cell communication. We hypothesize that segmentation and multivariate characterization of the distrib...
Ju Han, Hang Chang, Kumari L. Andarawewa, Paul Yas...
EMMCVPR
2007
Springer
14 years 1 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
IROS
2006
IEEE
103views Robotics» more  IROS 2006»
14 years 1 months ago
Homography-based Tracking for Central Catadioptric Cameras
— This paper presents a parametric approach for tracking piecewise planar scenes with central catadioptric cameras (including perspective cameras). We extend the standard notion ...
Christopher Mei, Selim Benhimane, Ezio Malis, Patr...