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» A Bayesian Approach to Tackling Hard Computational Problems
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ICIP
1998
IEEE
16 years 20 days ago
Adaptive Restoration of Speckled SAR Images using a Compound Random Markov Field
This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and ...
José M. B. Dias, José M. N. Leit&ati...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 5 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
EMMCVPR
2007
Springer
15 years 5 months ago
Shape Classification Based on Skeleton Path Similarity
Most of the traditional methods for shape classification are based on contour. They often encounter difficulties when dealing with classes that have large nonlinear variability, es...
Xingwei Yang, Xiang Bai, Deguang Yu, Longin Jan La...
SSPR
2004
Springer
15 years 4 months ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 3 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang