Least Squares Support Vector Machine Classifiers
Neural Processing Letters
On Combining One-Class Classifiers for Image Database Retrieval
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Support Vector Data Description
Machine Learning
A Survey of Outlier Detection Methodologies
Artificial Intelligence Review
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Least squares one-class support vector machine
Pattern Recognition Letters
Two Algorithms for the Minimum Enclosing Ball Problem
SIAM Journal on Optimization
Gaussian Processes for Object Categorization
International Journal of Computer Vision
Evaluating Color Descriptors for Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pseudo-density estimation for clustering with gaussian processes
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A parallel genetic programming for single class classification
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Rapid uncertainty computation with gaussian processes and histogram intersection kernels
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
One-class classification with Gaussian processes
Pattern Recognition
I want to know more--efficient multi-class incremental learning using Gaussian processes
Pattern Recognition and Image Analysis
A least-squares approach to anomaly detection in static and sequential data
Pattern Recognition Letters
Review: A review of novelty detection
Signal Processing
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Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investigates the use of Gaussian process (GP) priors for this area of research. Focusing on the task of one-class classification for visual object recognition, we analyze different measures derived from GP regression and approximate GP classification. Experiments are performed using a large set of categories and different image kernel functions. Our findings show that the well-known Support Vector Data Description is significantly outperformed by at least two GP measures which indicates high potential of Gaussian processes for one-class classification.