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KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 7 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
ICASSP
2011
IEEE
14 years 10 months ago
Log-gaussian cox processes of visual keypoints for sonar texture recognition
In this paper, invariant sonar texture characterization for seabed classification is addressed from the spatial distribution of image keypoints using log-Gaussian Cox processes. ...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
ICIP
2007
IEEE
16 years 8 months ago
P-Laplacian Driven Image Processing
In this work, we take a novel line of approaches to evolve images. It is motivated by the total variation method, known for its denoising and edge-preserving effect. Our approach ...
Arjan Kuijper
SIBGRAPI
1999
IEEE
15 years 10 months ago
Curvature Operators in Geometric Image Processing
Abstract. In this work we study the problem of reconstructing an image from a perceptual segmentation based on a geometric classification of its points using non-linear curvature f...
Cicero Mota, Jonas Gomes
ICASSP
2009
IEEE
16 years 1 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...