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Federal
Classification recent views
National Aeronautics and Space Administration —
A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of training... -
Federal
Pseudo-Label Generation for Multi-Label Text Classification recent views
National Aeronautics and Space Administration —
With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data,... -
Federal
Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data recent views
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
Classification of Mars Terrain Using Multiple Data Sources recent views
National Aeronautics and Space Administration —
Classification of Mars Terrain Using Multiple Data Sources Alan Kraut1, David Wettergreen1 ABSTRACT. Images of Mars are being collected faster than they can be... -
Federal
Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop... recent views
National Aeronautics and Space Administration —
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four... -
Federal
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach recent views
National Aeronautics and Space Administration —
In this paper we propose an innovative learning algorithm - a variation of One-class Support Vector Machines (SVMs) learning algorithm to produce sparser solutions... -
Federal
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems recent views
National Aeronautics and Space Administration —
In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the... -
Federal
nu-Anomica algorithm recent views
National Aeronautics and Space Administration —
One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the training... -
Federal
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS recent views
National Aeronautics and Space Administration —
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS GOO JUN * AND JOYDEEP GHOSH* Abstract. A semi-supervised learning... -
Federal
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING recent views
National Aeronautics and Space Administration —
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract.... -
Federal
Communication Optimizations for a Wireless Distributed Prognostic Framework recent views
National Aeronautics and Space Administration —
Distributed architecture for prognostics is an essential step in prognostic research in order to enable feasible real-time system health management. Communication... -
Federal
Fault Adaptive Control of Overactuated Systems Using Prognostic Estimation recent views
National Aeronautics and Space Administration —
Most fault adaptive control research addresses the preservation of system stability or functionality in the presence of a specific failure (fault). This paper... -
Federal
Friedl presentation at CIDU recent views
National Aeronautics and Space Administration —
The land remote sensing community has a long history of using supervised and unsupervised methods to help interpret and analyze remote sensing data sets. Until... -
Federal
nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique recent views
National Aeronautics and Space Administration —
In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the... -
Federal
A Modeling Framework for Prognostic Decision Making and its Application to UAV Mission Planning recent views
National Aeronautics and Space Administration —
The goal of prognostic decision making (PDM) is to utilize information on anticipated system health changes in selecting future actions. One of the key challenges in... -
Federal
Deterministic Compilation of Temporal Safety Properties in Explicit State Model Checking recent views
National Aeronautics and Space Administration —
The translation of temporal logic specifications constitutes an essen- tial step in model checking and a major influence on the efficiency of formal verification via... -
Federal
ν-Anomica: A Fast Support Vector based Novelty Detection Technique recent views
National Aeronautics and Space Administration —
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 to the benchmark... -
Federal
MKAD (Open Sourced Code) recent views
National Aeronautics and Space Administration —
The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization... -
Federal
DXC'09 Framework recent views
National Aeronautics and Space Administration —
The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs). It is complementary to system XML catalogs and... -
Federal
Optimal Alarm Systems recent views
National Aeronautics and Space Administration —
An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It...