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140
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ICPR
2006
IEEE
16 years 3 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
132
Voted
NAR
2011
223views Computer Vision» more  NAR 2011»
14 years 5 months ago
miRBase: integrating microRNA annotation and deep-sequencing data
miRBase is the primary online repository for all microRNA sequences and annotation. The current release (miRBase 16) contains over 15 000 microRNA gene loci in over 140 species, a...
Ana Kozomara, Sam Griffiths-Jones
125
Voted
TIP
2010
97views more  TIP 2010»
14 years 9 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
118
Voted
IEAAIE
2011
Springer
14 years 5 months ago
Modeling Users of Crisis Training Environments by Integrating Psychological and Physiological Data
Abstract. This paper describes aspects of a training environment for crisis decision makers who, notoriously, operate in highly stressful and unpredictable situations. Training suc...
Gabriella Cortellessa, Rita D'Amico, Marco Pagani,...
167
Voted
DEXA
2009
Springer
188views Database» more  DEXA 2009»
15 years 6 months ago
On-the-Fly Integration and Ad Hoc Querying of Life Sciences Databases Using LifeDB
Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited thr...
Anupam Bhattacharjee, Aminul Islam, Mohammad Shafk...