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» A General Model for Multiple View Unsupervised Learning
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IACR
2011
88views more  IACR 2011»
12 years 7 months ago
Storing Secrets on Continually Leaky Devices
We consider the question of how to store a value secretly on devices that continually leak information about their internal state to an external attacker. If the secret value is s...
Yevgeniy Dodis, Allison B. Lewko, Brent Waters, Da...
CIKM
2009
Springer
14 years 8 days ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
BMCBI
2010
171views more  BMCBI 2010»
13 years 7 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
CIKM
2009
Springer
14 years 2 months ago
Interactive, topic-based visual text summarization and analysis
We are building an interactive, visual text analysis tool that aids users in analyzing a large collection of text. Unlike existing work in text analysis, which focuses either on d...
Shixia Liu, Michelle X. Zhou, Shimei Pan, Weihong ...