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IROS
2008
IEEE
156views Robotics» more  IROS 2008»
14 years 4 months ago
Cross-country obstacle detection: Space-variant resolution and outliers removal
Abstract— The unstructured nature of cross-country environments poses a great deal of challenges to obstacle detection algorithms. This paper presents an algorithm able to perfor...
Pedro Santana, Paulo Santos, Luís Correia, ...
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 3 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
ICPR
2008
IEEE
14 years 4 months ago
Removing salt-and-pepper noise from binary images of engineering drawings
Removing noise in engineering drawing images is important before applying image analysis processes. Noise should be removed while keeping the fine detail of the image intact. A n...
Hasan S. M. Al-Khaffaf, Abdullah Zawawi Talib, Ros...
ICIP
2008
IEEE
14 years 4 months ago
An inpainting system for automatic image structure - texture restoration with text removal
In this paper we deal with the inpainting problem and with the problem of finding text in images. We first review many of the methods used for structure and texture inpaintings....
Eftychios A. Pnevmatikakis, Petros Maragos
IPMU
2010
Springer
13 years 7 months ago
Rank Correlation Coefficient Correction by Removing Worst Cases
Abstract. Rank correlation can be used to compare two linearly ordered rankings. If the rankings include noise values, the rank correlation coefficient will yield lower values than...
Martin Krone, Frank Klawonn