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DIMVA
2008
13 years 5 months ago
Data Space Randomization
Over the past several years, US-CERT advisories, as well as most critical updates from software vendors, have been due to memory corruption vulnerabilities such as buffer overflo...
Sandeep Bhatkar, R. Sekar
ICPR
2010
IEEE
13 years 11 months ago
A Bound on the Performance of LDA in Randomly Projected Data Spaces
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
Robert John Durrant, Ata Kaban
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
13 years 6 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
ICASSP
2010
IEEE
13 years 4 months ago
Error resilient video multicast using Randomized Distributed Space Time Codes
—In this paper we study a two-hop cooperative transmission scheme where multiple relays forward the data simultaneously using Randomized Distributed Space Time Codes (R-DSTC). We...
Ozgu Alay, Pei Liu, Yao Wang, Elza Erkip, Shivendr...
MCS
2009
Springer
13 years 9 months ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown