Papers One-Class Classification
“One-Class Classification” 태그가 달린 논문 227편 · 필터 해제
A One-Class Classification Decision Tree Based on Kernel Density Estimation
One-class Classification (OCC) is an area of machine learning which addresses prediction based on unbalanced datasets. Basically, OCC algorithms achieve training by means of a single class sample, with potentially some a…
Density EstimationGeneral ClassificationOne-Class ClassificationLearning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
Learning compressed representations of multivariate time series (MTS) facilitates data analysis in the presence of noise and redundant information, and for a large number of variates and time steps. However, classical di…
Dimensionality ReductionGeneral ClassificationImputationMissing Values+4Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification
Although deep neural network (DNN) has achieved many state-of-the-art results, estimating the uncertainty presented in the DNN model and the data is a challenging task. Problems related to uncertainty such as classifying…
Autonomous DrivingGeneral ClassificationMedical DiagnosisOne-Class ClassificationOne-Class Adversarial Nets for Fraud Detection
Many online applications, such as online social networks or knowledge bases, are often attacked by malicious users who commit different types of actions such as vandalism on Wikipedia or fraudulent reviews on eBay. Curre…
Fraud DetectionOne-Class ClassificationAdversarially Learned One-Class Classifier for Novelty Detection
Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality, the novelty class is often absent during training, poorly samp…
Anomaly DetectionNovelty DetectionOne-Class ClassificationOne-class classifier+2Subspace Support Vector Data Description
This paper proposes a novel method for solving one-class classification problems. The proposed approach, namely Subspace Support Vector Data Description, maps the data to a subspace that is optimized for one-class classi…
ClassificationGeneral ClassificationOne-Class ClassificationLearning Deep Features for One-Class Classification
We propose a deep learning-based solution for the problem of feature learning in one-class classification. The proposed method operates on top of a Convolutional Neural Network (CNN) of choice and produces descriptive fe…
Anomaly DetectionDescriptiveGeneral ClassificationNovelty Detection+2Semi-supervised Outlier Detection using Generative And Adversary Framework
In a conventional binary/multi-class classification task, the decision boundary is supported by data from two or more classes. However, in one-class classification task, only data from one class are available. To build a…
General ClassificationMulti-class ClassificationOne-Class ClassificationOne-class classifier+1Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields
The berry size is one of the most important fruit traits in grapevine breeding. Non-invasive, image-based phenotyping promises a fast and precise method for the monitoring of the grapevine berry size. In the present stud…
Active LearningClassificationGeneral ClassificationOne-Class ClassificationCombining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising
In this paper we propose a lightly-supervised framework to rapidly build text classifiers for contextual advertising. Traditionally text classification techniques require labeled training documents for each predefined cl…
ClassificationGeneral ClassificationOne-Class Classificationtext-classification+1Binary Classification from Positive-Confidence Data
Can we learn a binary classifier from only positive data, without any negative data or unlabeled data? We show that if one can equip positive data with confidence (positive-confidence), one can successfully learn a binar…
Binary ClassificationClassificationClusteringGeneral Classification+1Support Spinor Machine
We generalize a support vector machine to a support spinor machine by using the mathematical structure of wedge product over vector machine in order to extend field from vector field to spinor field. The separated hyperp…
General ClassificationOne-Class ClassificationTime SeriesTime Series AnalysisOpen-Set Language Identification
We present the first open-set language identification experiments using one-class classification. We first highlight the shortcomings of traditional feature extraction methods and propose a hashing-based feature vectoriz…
General ClassificationLanguage IdentificationOne-Class ClassificationModel Selection for Anomaly Detection
Anomaly detection based on one-class classification algorithms is broadly used in many applied domains like image processing (e.g. detection of whether a patient is "cancerous" or "healthy" from mammography image), netwo…
Anomaly DetectionClassificationGeneral ClassificationIntrusion Detection+4One-Class Semi-Supervised Learning: Detecting Linearly Separable Class by its Mean
In this paper, we presented a novel semi-supervised one-class classification algorithm which assumes that class is linearly separable from other elements. We proved theoretically that class is linearly separable if and o…
General ClassificationOne-Class ClassificationOnline Learning with Regularized Kernel for One-class Classification
This paper presents an online learning with regularized kernel based one-class extreme learning machine (ELM) classifier and is referred as online RK-OC-ELM. The baseline kernel hyperplane model considers whole data in a…
ClassificationGeneral ClassificationModel SelectionOne-Class Classification+1On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox
One-Class Classification (OCC) has been prime concern for researchers and effectively employed in various disciplines. But, traditional methods based one-class classifiers are very time consuming due to its iterative pro…
General ClassificationOne-Class ClassificationA One class Classifier based Framework using SVDD : Application to an Imbalanced Geological Dataset
Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due to the nonlinear and heterogeneous nature…
ClassificationGeneral ClassificationOne-Class ClassificationOne-class classifierOne Class Splitting Criteria for Random Forests
Random Forests (RFs) are strong machine learning tools for classification and regression. However, they remain supervised algorithms, and no extension of RFs to the one-class setting has been proposed, except for techniq…
Anomaly DetectionBIG-bench Machine LearningClassificationGeneral Classification+2Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders
A fall is an abnormal activity that occurs rarely, so it is hard to collect real data for falls. It is, therefore, difficult to use supervised learning methods to automatically detect falls. Another challenge in using ma…
Activity RecognitionOne-Class Classification