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» Feature analysis for architectural evaluation methods
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116
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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 10 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
141
Voted
PE
2007
Springer
118views Optimization» more  PE 2007»
15 years 3 months ago
An empirical study of reliable multicast protocols over Ethernet-connected networks
Recent advances in multicasting over the Internet present new opportunities for improving communication performance in clusters of workstations. The standard IP multicast, however...
Ryan G. Lane, Scott Daniels, Xin Yuan
SIBGRAPI
2005
IEEE
15 years 9 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
190
Voted
JDCTA
2010
688views more  JDCTA 2010»
14 years 10 months ago
Hand Mouse: Real Time Hand Motion Detection System Based on Analysis of Finger Blobs
Hand detection is a fundamental step in many practical applications as gesture recognition, video surveillance, and multimodal machine interface and so on. The aim of this paper i...
Ibrahim Furkan Ince, Manuel Socarras-Garzon, Tae-C...
154
Voted
CARS
2001
15 years 5 months ago
Rendering and interaction in co-operative 3-D image analysis
Most interactive segmentation methods are defined at a 2-d level requiring sometimes extensive interaction when the object of interest is difficult to be outlined by simple means ...
Klaus D. Tönnies, Manfred Hinz, Regina Pohle