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» Image Based Regression Using Boosting Method
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VISAPP
2007
15 years 3 months ago
Texture based image indexing and retrieval
The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by...
N. Gnaneswara Rao, V. Vijaya Kumar
89
Voted
ICPR
2008
IEEE
16 years 3 months ago
Phase-adaptive image signal fusion using complex-valued wavelets
This paper presents a novel method for medical image signal fusion using complex-valued wavelets to enhance the information content in the fused signal from a perceptual manner. T...
Alexander Wong, David A. Clausi, Paul W. Fieguth
ISBI
2007
IEEE
15 years 8 months ago
Registration of Ultrasound Images Using an Information-Theoretic Feature Detector
In this paper, we present a new method for ultrasound image registration. For each image to be registered, our method first applies an ultrasound-specific information-theoretic ...
Zhe Wang, Gregory G. Slabaugh, Gozde B. Unal, Tong...
ECAI
2008
Springer
15 years 4 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
141
Voted
IEEECIT
2007
IEEE
15 years 8 months ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang