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» A comparative study of two object recognition methods
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ICVS
1999
Springer
15 years 1 months ago
ADORE: Adaptive Object Recognition
Many modern computer vision systems are built by chaining together standard vision procedures, often in graphical programming environments such as Khoros, CVIPtools or IUE. Typical...
Bruce A. Draper, José Bins, Kyungim Baek
CVPR
1998
IEEE
15 years 11 months ago
Comparing Images under Variable Illumination
We consider the problem of determining whether two images come from different objects or the same object in the same pose, but under different illumination conditions. We show tha...
David W. Jacobs, Peter N. Belhumeur, Ronen Basri
IEEECIT
2007
IEEE
15 years 4 months ago
An Experimental Study on Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Donghyuk Shin, Hyunsung Jo, Jihoon Ya...
FOIKS
2010
Springer
14 years 7 months ago
Two Complementary Classification Methods for Designing a Concept Lattice from Interval Data
This paper holds on the application of two classification methods based on formal concept analysis (FCA) to interval data. The first method uses a similarity between objects while ...
Mehdi Kaytoue-Uberall, Zainab Assaghir, Nizar Mess...
IPPS
2006
IEEE
15 years 3 months ago
Predicting failures of computer systems: a case study for a telecommunication system
The goal of online failure prediction is to forecast imminent failures while the system is running. This paper compares Similar Events Prediction (SEP) with two other well-known t...
Felix Salfner, M. Schieschke, Miroslaw Malek