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» Classification of symbolic objects: A lazy learning approach
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MM
2010
ACM
174views Multimedia» more  MM 2010»
13 years 7 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
IGARSS
2010
13 years 2 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
NPL
2006
109views more  NPL 2006»
13 years 7 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
ICIP
2010
IEEE
13 years 5 months ago
A dynamic threshold approach for skin segmentation in color images
: This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in color images. Fixed decision boundaries (or fixed threshold) classificat...
Yogarajah Pratheepan, Joan Condell, Kevin Curran, ...
SIGCSE
2000
ACM
453views Education» more  SIGCSE 2000»
13 years 12 months ago
Aristotle and object-oriented programming: why modern students need traditional logic
Classifying is a central activity in object-oriented programming and distinguishes it from procedural programming. Traditional logic, initiated by Aristotle, assigns classificatio...
Derek Rayside, Gerard T. Campbell