25 datasets found for "Sampling"
-
Federal
MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH
National Aeronautics and Space Administration —
MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH VARUN CHANDOLA AND RANGA RAJU VATSAVAI Abstract. Multispectral remote sensing images have... -
Federal
Topic Modeling for OLAP on Multidimensional Text Databases: Topic Cube and its Applications
National Aeronautics and Space Administration —
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data... -
Federal
Power Management for A Distributed Wireless Health Management Architecture
National Aeronautics and Space Administration —
Distributed wireless architectures for prognostics is an important enabling step in prognostic research in order to achieve feasible real-time system health... -
Federal
Novel Methods for Predicting Photometric Redshifts
National Aeronautics and Space Administration —
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 Sky... -
Federal
Entropy-based Probabilistic Fatigue Damage Prognosis and Algorithmic Performance Comparison
National Aeronautics and Space Administration —
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an... -
Federal
AePW publications
National Aeronautics and Space Administration —
This will contain publications used by the AePW -
Federal
Autonomous Decision Making for Planetary Rovers Using Diagnostic and Prognostic Information
National Aeronautics and Space Administration —
Rover missions typically involve visiting a set of predetermined waypoints to perform science functions, such as sample collection. Given the communication delay... -
Federal
Model-based prognostics for batteries which estimates useful life and uses a probability density function
National Aeronautics and Space Administration —
This invention develops a mathematical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the form of... -
Federal
IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING
National Aeronautics and Space Administration —
IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG Abstract. Active learning has been successfully applied to many natural language... -
Federal
Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data
National Aeronautics and Space Administration —
There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of earth... -
Federal
DXC'10 Industrial Track Sample Data
National Aeronautics and Space Administration —
Sample data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are... -
Federal
An Overview of Selected Prognostic Technologies with Reference to an Integrated PHM Architecture
National Aeronautics and Space Administration —
This chapter reviewed generic prognosis algorithmic approaches and introduced some of the basics associated with probabilistic predictions and a required architecture... -
Federal
Ensemble Approach to Building Mercer Kernels
National Aeronautics and Space Administration —
This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive... -
Federal
First International Diagnosis Competition – DXC’09
National Aeronautics and Space Administration —
A framework to compare and evaluate diagnosis algorithms (DAs) has been created jointly by NASA Ames Research Center and PARC. In this paper, we present the first... -
Federal
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
National Aeronautics and Space Administration —
This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
A Local Scalable Distributed EM Algorithm for Large P2P Networks
National Aeronautics and Space Administration —
his paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
Comparison of Unsupervised Anomaly Detection Methods
National Aeronautics and Space Administration —
Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a... -
Federal
RSW Mixed Element Coarse Cell-Centered Mesh
National Aeronautics and Space Administration —
This is the RSW mixed element unstructured mesh dataset for a cell-centered code, including the viscous wind tunnel wall. UG3 : Grid File Name =...
25 datasets found for "Sampling"