Sang-Woo Ban

According to our database1, Sang-Woo Ban authored at least 40 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset.
Sensors, March, 2023

2013
Top-down attention based on object representation and incremental memory for knowledge building and inference.
Neural Networks, 2013

2012
Novel input and output mapping-sensitive error back propagation learning algorithm for detecting small input feature variations.
Neural Comput. Appl., 2012

2011
Growing fuzzy topology adaptive resonance theory models with a push-pull learning algorithm.
Neurocomputing, 2011

Affective saliency map considering psychological distance.
Neurocomputing, 2011

Mobile Embedded Health-Care System Working on Wireless Sensor Network.
Proceedings of the Third International Conference on Communications and Mobile Computing, 2011

Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Human Augmented Cognition Based on Integration of Visual and Auditory Information.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Top-down visual selective attention model combined with bottom-up saliency map for incremental object perception.
Proceedings of the International Joint Conference on Neural Networks, 2010

Input and Output Mapping Sensitive Auto-Associative Multilayer Perceptron for Computer Interface System Based on Image Processing of Laser Pointer Spot.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Visual Selective Attention Model Considering Bottom-Up Saliency and Psychological Distance.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
Self-Motivated Autonomous Robot With A Trainable Selective Attention Model.
Intell. Autom. Soft Comput., 2009

Office-mate: Selective attention and incremental object perception.
Proceedings of the IEEE International Conference on Systems, 2009

(2D)2PCA-ICA: A New Approach for Face Representation and Recognition.
Proceedings of the IEEE International Conference on Systems, 2009

Multiple Occluded Face Detection Based on Binocular Saliency Map.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment.
Neural Networks, 2008

Dynamic visual selective attention model.
Neurocomputing, 2008

Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Biologically Motivated Incremental Object Perception Based on Selective Attention.
Int. J. Pattern Recognit. Artif. Intell., 2007

Autonomous Incremental Visual Environment Perception Based on Visual Selective Attention.
Proceedings of the International Joint Conference on Neural Networks, 2007

Biologically Motivated Face Selective Attention Model.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Incremental Knowledge Representation Based on Visual Selective Attention.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Stereo Saliency Map Considering Affective Factors in a Dynamic Environment.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Incremental Feature Extraction and Object Representation Based on Dynamic Visual Selective Attention.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2006
Biologically motivated vergence control system using human-like selective attention model.
Neurocomputing, 2006

Selective attention-based novelty scene detection in dynamic environments.
Neurocomputing, 2006

Biologically Motivated Face Selective Attention System.
Proceedings of the International Joint Conference on Neural Networks, 2006

Selective Motion Analysis Based on Dynamic Visual Saliency Map Model.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Autonomous Robot Vision System for Environment Recognition.
Proceedings of the Intelligent Autonomous Systems 9, 2006

2005
Novelty Analysis in Dynamic Scene for Autonomous Mental Development.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
A face detection using biologically motivated bottom-up saliency map model and top-down perception model.
Neurocomputing, 2004

Biologically Motivated Visual Selective Attention for Face Localization.
Proceedings of the Attention and Performance in Computational Vision, 2004

Human-Like Selective Attention Model with Reinforcement and Inhibition Mechanism.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Biologically Inspired Active Stereo Vision System Using a Bottom-Up Saliency Map Model.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Biologically Motivated Trainable Selective Attention Model Using Adaptive Resonance Theory Network.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004

2003
Implementation of Visual Attention System Using Bottom-up Saliency Map Model.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

1999
Multiagent-Based Distance Learning Framework Using CORBA.
Proceedings of the Internet, Multimedia Systems and Applications, 1999

Modeling of saccadic movements using neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999


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