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TIP
2002
169views more  TIP 2002»
15 years 2 months ago
On the origin of the bilateral filter and ways to improve it
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...
Michael Elad

Publication
183views
14 years 11 months ago
A New Preprocessing Filter for Digital Mammogram
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
TNN
1998
92views more  TNN 1998»
15 years 2 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
163
Voted
SAC
2008
ACM
15 years 2 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
ECCV
1996
Springer
16 years 4 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris