Distributed One-Class Support Vector Machine

Probabilistic Novelty Detection With Support Vector Machines

(2014) Lei Clifton et al.   IEEE TRANSACTIONS ON RELIABILITY

Clustering-based ensembles for one-class classification

(2014) Bartosz Krawczyk et al.   INFORMATION SCIENCES

Covariance-guided One-Class Support Vector Machine

(2014) Naimul Mefraz Khan et al.   PATTERN RECOGNITION

A Minimum Volume Covering Approach with a Set of Ellipsoids

(2013) David Martinez-Rego et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Boundary detection and sample reduction for one-class Support Vector Machines

(2013) Fa Zhu et al.   NEUROCOMPUTING

Diversity measures for one-class classifier ensembles

(2013) Bartosz Krawczyk et al.   NEUROCOMPUTING

One class random forests

(2013) Chesner Désir et al.   PATTERN RECOGNITION

One-class classification with Gaussian processes

(2013) Michael Kemmler et al.   PATTERN RECOGNITION

Approximate polytope ensemble for one-class classification

(2013) Pierluigi Casale et al.   PATTERN RECOGNITION

Structural Reliability Assessment by Local Approximation of Limit State Functions Using Adaptive Markov Chain Simulation and Support Vector Regression

(2012) Hongzhe Dai et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic bearing fault diagnosis based on one-class ν-SVM

(2012) Diego Fernández-Francos et al.   COMPUTERS & INDUSTRIAL ENGINEERING

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines

(2011) G. Bilgin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

One-Class Support Vector Ensembles for Image Segmentation and Classification

(2011) Bogusław Cyganek   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Distributed anomaly detection using 1-class SVM for vertically partitioned data

(2011) Kamalika Das et al.   Statistical Analysis and Data Mining

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Fault detection and diagnosis in process data using one-class support vector machines

(2009) Sankar Mahadevan et al.   JOURNAL OF PROCESS CONTROL

COLOR IMAGE SEGMENTATION WITH SUPPORT VECTOR MACHINES: APPLICATIONS TO ROAD SIGNS DETECTION

(2008) BOGUSŁAW CYGANEK   International Journal of Neural Systems