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» Support vector machine learning for image retrieval
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125
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ICIP
2008
IEEE
15 years 11 months ago
Blind image steganalysis based on run-length histogram analysis
In this paper, a new, simple but effective method is proposed for blind image steganalysis, which is based on run-length histogram analysis. Higher-order statistics of characteris...
Jing Dong, Tieniu Tan
CIKM
2008
Springer
15 years 6 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
95
Voted
ICPR
2004
IEEE
16 years 5 months ago
Training of Classifiers Using Virtual Samples Only
This paper describes the training of classifiers entirely based on virtual images, rendered by a ray-tracing software. Two classifiers, a support vector machine and a polynomial c...
Annika Kuhl, Lars Krüger, Christian Wöhl...
VISUAL
2005
Springer
15 years 10 months ago
Image Annotation for Adaptive Enhancement of Uncalibrated Color Images
The paper describes an innovative image annotation tool, based on a multi-class Support Vector Machine, for classifying image pixels in one of seven classes - sky, skin, vegetation...
Claudio Cusano, Francesca Gasparini, Raimondo Sche...
ICIP
2005
IEEE
16 years 6 months ago
Artificial neural network-based segmentation and apple grading by machine vision
In this paper, a computer vision based system is introduced to automatically sort apple fruits. An artificial neural network segments the defected regions on fruit by pixel-wise p...
Devrim Unay, Bernard Gosselin