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AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
15 years 10 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
AUSAI
2008
Springer
15 years 8 months ago
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata
Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
IJCAI
2007
15 years 8 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
JAIR
2006
110views more  JAIR 2006»
15 years 6 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
JFR
2006
88views more  JFR 2006»
15 years 6 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...