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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 5 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
CIKM
2008
Springer
13 years 7 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
ISCAS
2008
IEEE
230views Hardware» more  ISCAS 2008»
13 years 11 months ago
Joint optimization of data hiding and video compression
— From copyright protection to error concealment, video data hiding has found usage in a great number of applications. Recently proposed applications such as privacy data preserv...
Jithendra K. Paruchuri, Sen-Ching S. Cheung
NIPS
2007
13 years 6 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
CCS
2009
ACM
13 years 12 months ago
Privacy-preserving genomic computation through program specialization
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Rui Wang, XiaoFeng Wang, Zhou Li, Haixu Tang, Mich...