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» Objective reduction using a feature selection technique
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FCSC
2007
159views more  FCSC 2007»
13 years 9 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
EUROCRYPT
2010
Springer
14 years 2 months ago
Fully Secure Functional Encryption: Attribute-Based Encryption and (Hierarchical) Inner Product Encryption
In this paper, we present two fully secure functional encryption schemes. Our first result is a fully secure attribute-based encryption (ABE) scheme. Previous constructions of AB...
Allison B. Lewko, Tatsuaki Okamoto, Amit Sahai, Ka...
IJMI
2007
140views more  IJMI 2007»
13 years 9 months ago
Securing electronic health records without impeding the flow of information
Objective: We present an integrated set of technologies, known as the Hippocratic Database, that enable healthcare enterprises to comply with privacy and security laws without imp...
Rakesh Agrawal, Christopher M. Johnson
ECCV
2008
Springer
14 years 11 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...