Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: An approach to spacecraft anomaly detection problem using kernel feature space
an anomaly detection method for spacecraft using relevance vector learning .
McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection
Anomaly detection using Support Vector Machine classification with k-Medoids clustering
Robust Anomaly Detection Using Support Vector Machines
Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems
A classification framework for anomaly detection
Android anomaly detection system using machine learning classification
A novel anomaly detection scheme based on principal component classifier
Anomaly detection approach using Hidden Markov Model
An efficient semi-supervised SVM for anomaly detection
Space Object Classification using Fused Features of Time Series Data
A novel approach for trajectory feature representation and anomalous trajectory detection
Anomaly detection based on probability density function with Kullback-Leibler divergence
Anomaly Detection from Kepler Satellite Time-Series Data
K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods
Online nonparametric anomaly detection based on geometric entropy minimization
Online Anomaly Detection for Sensor Systems: a Simple and Efficient Approach
A Discriminative Metric Learning Based Anomaly Detection Method
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
Representation-learning for anomaly detection in complex x-ray cargo imagery
OBJECT-ORIENTED CLASSIFICATION OF REMOTE SENSING DATA FOR THE IDENTIFICATION OF TREE SPECIES COMPOSITION
A neonatal nurse training program in kangaroo mother care (KMC) decreases barriers to KMC utilization in the NICU.
A PERFORMANCE EVALUATION OF JPEG STEGANOGRAPHY TECHNIQUES
The husbandry of zebrafish (Danio rerio): A review
The Nature of Statistical Learning Theory