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» Learning Relational Features with Backward Random Walks
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IWDW
2004
Springer
15 years 6 months ago
A Multi-feature Based Invertible Authentication Watermarking for JPEG Images
: Invertible authentication techniques have been used in some special applications (such as medical or military) where original data can be recovered after authenticated. In this p...
Deng-Pan Ye, Yaobin Mao, Yuewei Dai, Zhiquan Wang
CVPR
2010
IEEE
15 years 6 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
ASUNAM
2010
IEEE
15 years 3 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
CVPR
2008
IEEE
16 years 3 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
SIGIR
2011
ACM
14 years 4 months ago
Learning online discussion structures by conditional random fields
Online forum discussions are emerging as valuable information repository, where knowledge is accumulated by the interaction among users, leading to multiple threads with structure...
Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei H...