Probabilistic estimates for multivariate analyses

Eigenimages and multivariate analyses

Probabilistic Multivariate Cryptography

In public key schemes based on multivariate cryptography, the public key is a finite set of m (generally quadratic) polynomial equations and the private key is a trapdoor allowing the owner of the private key to invert the public key. In existing schemes, a signature or an answer to an authentication is valid if all the m equations of the public key are satisfied. In this paper, we study the id...

Affymetrix GeneChip microarray preprocessing for multivariate analyses

Affymetrix GeneChip microarrays are the most widely used high-throughput technology to measure gene expression, and a wide variety of preprocessing methods have been developed to transform probe intensities reported by a microarray scanner into gene expression estimates. There have been numerous comparisons of these preprocessing methods, focusing on the most common analyses-detection of differ...

PETRA: Multivariate analyses for neuroimaging data

In last years, many research efforts in neurosciences have focused in multivariate approaches based on machine learning as an alternative to the use of Statistical Parametric Mapping and the univariate analyses that it provides. However, this relatively new field still lacks of a software framework that completely meets the needs of the scientific community. In this work we present a toolbox de...

Multivariate SVD Analyses For Network Anomaly Detection

We are investigating the use of signals analysis methods for near real-time anomaly and intrusion detection. Recently, methods such as wavelet analysis [1], and principle component analysis [2-4] have been applied to network measurement data as a means for automatically detecting anomalies in networks. Anomalies have included both local events such as flash crowds, as well as global events such...