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ICASSP
2011
IEEE
14 years 6 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
113
Voted
CIKM
2006
Springer
15 years 6 months ago
3DString: a feature string kernel for 3D object classification on voxelized data
Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approac...
Johannes Aßfalg, Karsten M. Borgwardt, Hans-...
219
Voted
GIS
2003
ACM
16 years 3 months ago
Computational data modeling for network-constrained moving objects
Advances in wireless communications, positioning technology, and other hardware technologies combine to enable a range of applications that use a mobile user's geo-spatial da...
Laurynas Speicys, Christian S. Jensen, Augustas Kl...
ACCV
2010
Springer
14 years 9 months ago
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
Samuele Salti, Federico Tombari, Luigi di Stefano
152
Voted
DOCENG
2007
ACM
15 years 6 months ago
A document object modeling method to retrieve data from a very large XML document
Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for...
Seung Min Kim, Suk I. Yoo, Eunji Hong, Tae Gwon Ki...