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» Detecting errors using multi-cycle invariance information
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CGF
2008
125views more  CGF 2008»
14 years 10 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
WIAMIS
2009
IEEE
15 years 4 months ago
The fast-3D spatio-temporal interest region detector
Spatio-temporal interest region detectors can be used in the analysis of video to determine sparse, informative regions as candidates for feature extraction. In this paper we comp...
Sander Koelstra, Ioannis Patras
ICIAR
2010
Springer
15 years 2 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
CISS
2010
IEEE
14 years 1 months ago
On performance evaluation of cooperative spectrum sensing in cognitive radio networks
—This paper presents the system level performance evaluation for energy-detection based cooperative spectrum sensing in cognitive radio networks. Three performance criteria are q...
Gang Xiong, Shalinee Kishore, Aylin Yener
COLING
1996
14 years 11 months ago
Automatic Detection of Omissions in Translations
ADOMIT is an algorithln for Automatic Detection of OMissions in Translations. The algorithm relies solely on geometric analysis of bitext maps and uses no linguistic information. ...
I. Dan Melamed