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ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 3 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
13 years 11 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
JCST
2008
159views more  JCST 2008»
13 years 5 months ago
Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications
To minimize the execution time of a sensing task over a multi-hop hierarchical sensor network, we present a coordinated scheduling method following the divisible load scheduling p...
Xiao-Lin Li, Jiannong Cao
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 9 days ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
CAIP
2007
Springer
202views Image Analysis» more  CAIP 2007»
13 years 11 months ago
Segmentation of Distinct Homogeneous Color Regions in Images
Abstract. In this paper, we present a novel algorithm to detect homogeneous color regions in images. We show its performance by applying it to skin detection. In contrast to previo...
Daniel Mohr, Gabriel Zachmann