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» Information extraction, data mining and joint inference
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KDD
2007
ACM
186views Data Mining» more  KDD 2007»
15 years 10 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 4 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
TKDE
2008
152views more  TKDE 2008»
14 years 9 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
ECCV
2010
Springer
15 years 3 months ago
A Discriminative Latent Model of Object Classes and Attributes
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
CIVR
2003
Springer
127views Image Analysis» more  CIVR 2003»
15 years 3 months ago
Detection of Documentary Scene Changes by Audio-Visual Fusion
The concept of a documentary scene was inferred from the audio-visual characteristics of certain documentary videos. It was observed that the amount of information from the visual ...
Atulya Velivelli, Chong-Wah Ngo, Thomas S. Huang