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» Image Based Regression Using Boosting Method
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ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
14 years 10 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
ICIP
2006
IEEE
15 years 11 months ago
Image Segmentation using Salient Points-Based Object Templates
Using prior knowledge about object(s) is beneficial for accurate image segmentation. We present an image segmentation method that performs segmentation using a set of user provide...
Hui Zhang, Sally A. Goldman
WACV
2012
IEEE
13 years 5 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
ECCV
2004
Springer
15 years 3 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ECIR
2003
Springer
14 years 11 months ago
Discretizing Continuous Attributes in AdaBoost for Text Categorization
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...