X
Search Filters
Format Format
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
one-class classification (297) 297
support vector machines (188) 188
computer science, artificial intelligence (172) 172
classification (170) 170
training (144) 144
algorithms (115) 115
engineering, electrical & electronic (114) 114
machine learning (114) 114
classifiers (106) 106
analysis (97) 97
one-class classifier (95) 95
feature extraction (94) 94
anomaly detection (86) 86
one-class svm (80) 80
support vector machine (78) 78
computer science (75) 75
novelty detection (64) 64
kernel (62) 62
support (60) 60
remote sensing (54) 54
one-class support vector machine (52) 52
pattern recognition (52) 52
artificial intelligence (51) 51
computer science, information systems (48) 48
one-class classifiers (46) 46
neural networks (40) 40
optimization (39) 39
accuracy (37) 37
support vector data description (36) 36
data mining (32) 32
data models (31) 31
one class classification (31) 31
instruments & instrumentation (30) 30
recognition (30) 30
usage (29) 29
learning (28) 28
mathematical models (28) 28
outlier detection (28) 28
chemistry, analytical (27) 27
clustering (27) 27
imaging science & photographic technology (27) 27
classification algorithms (26) 26
classifier ensemble (26) 26
computer science, theory & methods (26) 26
image classification (26) 26
algorithm (25) 25
outliers (25) 25
training data (25) 25
one class classifier (24) 24
principal component analysis (24) 24
svm (24) 24
authentication (23) 23
automation & control systems (23) 23
detectors (22) 22
one-class (22) 22
testing (22) 22
maschinelles lernen (21) 21
support vector machine classification (21) 21
telecommunications (21) 21
anomalies (20) 20
methods (20) 20
ensemble learning (19) 19
intrusion detection (19) 19
biometrics (18) 18
ensemble (18) 18
one class svm (18) 18
studies (18) 18
computer science, interdisciplinary applications (17) 17
one-class support vector machines (17) 17
sensors (17) 17
vectors (17) 17
computer simulation (16) 16
monitoring (16) 16
robustness (16) 16
fault detection (15) 15
incremental learning (15) 15
kernels (15) 15
operations research & management science (15) 15
fusion (14) 14
image processing (14) 14
selection (14) 14
system (14) 14
computer science, software engineering (13) 13
mapping (13) 13
mathematical analysis (13) 13
mustererkennung (13) 13
statistical analysis (13) 13
computer science, hardware & architecture (12) 12
construction (12) 12
diagnosis (12) 12
engineering, multidisciplinary (12) 12
fault diagnosis (12) 12
feature selection (12) 12
humans (12) 12
image segmentation (12) 12
networks (12) 12
pattern classification (12) 12
more...
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (733) 733
Chinese (6) 6
Japanese (3) 3
Portuguese (2) 2
Spanish (2) 2
French (1) 1
Korean (1) 1
Russian (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Pattern recognition, ISSN 0031-3203, 12/2016, Volume 60, pp. 585 - 595
This paper introduces the Graph Embedded One-Class Support Vector Machine and Graph Embedded Support Vector Data Description methods. These methods constitute... 
Support Vector Data Description | One-Class Support Vector Machine | Graph-based regularization | Media data classification | SUPPORT | FRAMEWORK | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FEATURES | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Pattern recognition letters, ISSN 0167-8655, 2019, Volume 117, pp. 37 - 44
... other classes is not. As this corresponds to many real-world data scenarios, considerable research efforts have been focused on developing one-class classification algorithms to build well-performing one-class classifiers... 
Hyperparameter optimization | Proxy measure | Pseudo non-target class | One-class classifier | Model validation | One-class classification | SUPPORT | NOVELTY DETECTION | ALGORITHMS | CONTROL CHARTS | STATISTICAL COMPARISONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Classifiers | Algorithms | Clustering | Classification
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 02/2015, Volume 150, pp. 490 - 500
Journal Article
Pattern recognition, ISSN 0031-3203, 10/2018, Volume 82, pp. 147 - 162
Journal Article
Pattern analysis and applications : PAA, ISSN 1433-755X, 2015, Volume 20, Issue 2, pp. 427 - 439
.... In our previous works, we proposed a highly efficient one-class classifier ensemble, based on input data clustering and training weighted one-class classifiers on clustered subsets... 
Kernels | Pattern Recognition | Fuzzy clustering | Competence areas | Pattern classification | Computer Science | Classifier selection | One-class classification | SYSTEM | NUMBER | NOVELTY DETECTION | ALGORITHMS | COMPETENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | MODEL SELECTION | Analysis | Machine learning
Journal Article
Soft Computing, ISSN 1432-7643, 12/2015, Volume 19, Issue 12, pp. 3387 - 3400
Journal Article
International journal of computer vision, ISSN 1573-1405, 2017, Volume 123, Issue 3, pp. 334 - 349
Journal Article
SENSORS, ISSN 1424-8220, 10/2016, Volume 16, Issue 10, pp. 1619 - 1619
...). OCKRA is an ensemble of one-class classifiers built over multiple projections of a dataset according to random feature subsets... 
personal risk detection | CHEMISTRY, ANALYTICAL | INSTRUMENTS & INSTRUMENTATION | wearable sensor | classifier ensemble | behavior analysis | one-class classification | NETWORKS | ENGINEERING, ELECTRICAL & ELECTRONIC | Support vector machines | Classifiers | Algorithms | Data sets | Risk | Projection | Sensors | Wearable
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2009, Volume 72, Issue 7-9, pp. 1859 - 1869
.... This paper proposes a new one-class classifier, the minimum spanning tree class descriptor ( MST_ CD... 
Class oriented description | One-class classification | Novelty detection | Recognition | Minimum spanning tree | OUTLIERS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Pattern recognition, ISSN 0031-3203, 12/2015, Volume 48, Issue 12, pp. 3969 - 3982
... decision space from local responses. In this paper, we propose to investigate the usefulness of applying one-class classifiers to this task, by assigning a dedicated one-class descriptor to each class, with three main approaches... 
Multi-class classification | Classifier ensemble | One-class classification | Classifier fusion | Binary classification | Decomposition strategies | SUPPORT VECTOR MACHINES | FUSION | DECISION TEMPLATES | NOVELTY DETECTION | RECOGNITION | ALGORITHM | BINARY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | CORRECTING OUTPUT CODES | FINGERPRINT CLASSIFICATION | SELECTION | Computer science | Analysis | Algorithms
Journal Article
Sensors (Basel, Switzerland), ISSN 1424-8220, 02/2019, Volume 19, Issue 4, p. 771
.... The one-class support vector machine approach is a favorable classifier without negative samples, however, it is sensitive to outliers that deviate from the center and lacks a mechanism for coping... 
Flight control system | Local density | Unmanned aerial vehicles | Sensors | Fault detection | One-class support vector machine | flight control system | ELECTROCHEMISTRY | DIAGNOSIS | CHEMISTRY, ANALYTICAL | unmanned aerial vehicles | fault detection | STATE | ONE-CLASS SVM | LITHIUM-ION BATTERY | local density | INSTRUMENTS & INSTRUMENTATION | sensors | one-class support vector machine | ANOMALY DETECTION
Journal Article
Transactions of the Institute of Measurement and Control, ISSN 1477-0369, 2017, Volume 40, Issue 12, pp. 3466 - 3476
This paper focuses on the issue of anomaly detection for data in process control systems (PCSs). Considering data features in PCSs, this paper proposes to... 
ensemble learning | one-class classification | Anomaly detection | process control system | INTRUSION DETECTION | FORESTS | INSTRUMENTS & INSTRUMENTATION | INDUSTRY | ALGORITHM | AUTOMATION & CONTROL SYSTEMS | Control systems | Process controls | Process control | Anomalies
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 12/2015, Volume 26, Issue 12, pp. 3187 - 3200
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... 
Training | fuzzy set | Computational modeling | Dissimilarity representation | one-class classification | Linear programming | Entropy