Papers One-Class Classification
“One-Class Classification” 태그가 달린 논문 227편 · 필터 해제
One-Class SVM with Privileged Information and its Application to Malware Detection
A number of important applied problems in engineering, finance and medicine can be formulated as a problem of anomaly detection. A classical approach to the problem is to describe a normal state using a one-class support…
Anomaly DetectionClassificationGeneral ClassificationMalware Classification+2Probabilistic Saliency Estimation
In this paper, we model the salient object detection problem under a probabilistic framework encoding the boundary connectivity saliency cue and smoothness constraints in an optimization problem. We show that this proble…
Objectobject-detectionObject DetectionOne-Class Classification+3Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles
In one-class classification problems, only the data for the target class is available, whereas the data for the non-target class may be completely absent. In this paper, we study one-class nearest neighbour (OCNN) classi…
One-Class ClassificationEntropic one-class classifiers
The one-class classification problem is a well-known research endeavor in pattern recognition. The problem is also known under different names, such as outlier and novelty/anomaly detection. The core of the problem consi…
Anomaly DetectionBenchmarkingGeneral Classificationglobal-optimization+2Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification
Detecting faults in electrical power grids is of paramount importance, either from the electricity operator and consumer viewpoints. Modern electric power grids (smart grids) are equipped with smart sensors that allow to…
General ClassificationOne-Class ClassificationOne-class classifierOne-Class Classification: Taxonomy of Study and Review of Techniques
One-class classification (OCC) algorithms aim to build classification models when the negative class is either absent, poorly sampled or not well defined. This unique situation constrains the learning of efficient classi…
ClassificationGeneral ClassificationNovelty DetectionOne-Class ClassificationCombining One-Class Classifiers via Meta-Learning
Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In this work we examine the notion of combining one-class classifiers as an alternative for s…
General ClassificationMeta-LearningOne-Class Classification