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SAC
2010
ACM
15 years 5 months ago
Optimal linear projections for enhancing desired data statistics
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
Evgenia Rubinshtein, Anuj Srivastava
ISDA
2010
IEEE
15 years 5 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
TCC
2012
Springer
218views Cryptology» more  TCC 2012»
14 years 2 months ago
Iterative Constructions and Private Data Release
In this paper we study the problem of approximately releasing the cut function of a graph while preserving differential privacy, and give new algorithms (and new analyses of exis...
Anupam Gupta, Aaron Roth, Jonathan Ullman
SAM
2000
102views Hardware» more  SAM 2000»
15 years 8 months ago
Test Generation Based On Control And Data Dependencies Within Multi-Process SDL Specifications
Control and data flow aspects of a distributed system can be identified through the analysis of control and data dependencies that exist not only within processes, but also across...
Olaf Henniger, Hasan Ural
MICCAI
2006
Springer
16 years 8 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim