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» Kernels for Semi-Structured Data
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USS
2008
13 years 11 months ago
Selective Versioning in a Secure Disk System
Making vital disk data recoverable even in the event of OS compromises has become a necessity, in view of the increased prevalence of OS vulnerability exploits over the recent yea...
Swaminathan Sundararaman, Gopalan Sivathanu, Erez ...
NIPS
2008
13 years 10 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...
NIPS
1998
13 years 10 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
CORR
2006
Springer
91views Education» more  CORR 2006»
13 years 9 months ago
SCRUB-PA: A Multi-Level Multi-Dimensional Anonymization Tool for Process Accounting
In the UNIX/Linux environment the kernel can log every command process created by every user using process accounting. This data has many potential uses, including the investigati...
Katherine Luo, Yifan Li, Charis Ermopoulos, Willia...
PAMI
2007
148views more  PAMI 2007»
13 years 8 months ago
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
Effrosini Kokiopoulou, Yousef Saad