Novel Methods for Predicting Photometric Redshifts

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All ...

Algorithms for Spectral Decomposition with Applications

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

Detection and Prognostics on Low Dimensional Systems

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods ...

Anomaly Detection and Diagnosis Algorithms for Discrete Symbols

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

We present a set of novel algorithms which we call sequenceMiner that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise ...

Discovering System Health Anomalies using Data Mining Techniques

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both ...

Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 13 years, 8 months ago

Shared By: Bryan Matthews

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...