Trajectory Clustering and an Application to Airspace Monitoring

A Publication, IDEAS - 14 years, 2 months ago

Shared By: Vlad Popescu

This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned ...

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

A Publication, Ashok Srivastava's Collection - 11 years, 3 months ago

Shared By: Ashok Srivastava

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

A Publication, Kamalika Das's Collection - 14 years, 4 months ago

Shared By: Kamalika Das

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...

Ashok Srivastava

Fast and Flexible Multivariate Time Series Subsequence Search

A Publication, Ashok Srivastava's Collection - 11 years, 3 months ago

Shared By: Ashok Srivastava

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...

Privacy Preserving Outlier Detection through Random Nonlinear Data Distortion

A Publication, Kanishka Bhaduri's Collection - 14 years, 5 months ago

Shared By: Kanishka Bhaduri

Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without ...

ν-Anomica: A Fast Support Vector based Novelty Detection Technique

A Publication, Kanishka Bhaduri's Collection - 14 years, 5 months ago

Shared By: Kanishka Bhaduri

In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...

A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks

A Publication, Kanishka Bhaduri's Collection - 14 years, 5 months ago

Shared By: Kanishka Bhaduri

This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P) environments. The algorithm ...

Fast and Flexible Multivariate Time Series Subsequence Search

A Publication, Kanishka Bhaduri's Collection - 14 years, 5 months ago

Shared By: Kanishka Bhaduri

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...

Discovering Precursors to Aviation Safety Incidents: KDD 2010

A Publication, Ashok Srivastava's Collection - 11 years, 3 months ago

Shared By: Ashok Srivastava

Modern aircraft are producing data at an unprecedented rate with hundreds of parameters being recorded on a second by second basis. The data can be ...