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SOCO
2010
Springer
13 years 6 months ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
JCIT
2010
156views more  JCIT 2010»
13 years 2 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
CVPR
2009
IEEE
15 years 2 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
CVPR
2009
IEEE
15 years 2 months ago
Automatic Reconstruction of Cities from Remote Sensor Data
In this paper, we address the complex problem of rapid modeling of large-scale areas and present a novel approach for the automatic reconstruction of cities from remote sensor da...
Charalambos Poullis (CGIT/IMSC/USC), Suya You (Uni...
CVPR
1999
IEEE
14 years 9 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm