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NC
1998
140views Neural Networks» more  NC 1998»
15 years 1 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
14 years 10 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
16 years 11 days 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
15 years 5 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»
15 years 5 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...