Jun Wen

According to our database, Jun Wen authored at least 14 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Multiple perceptual neighborhoods-based feature construction for pattern classification.

Guihua Wen, Lijun Jiang, Jun Wen

Neurocomputing, 2014

2012

Perceptual relativity-based local hyperplane classification.

Guihua Wen, Lijun Jiang, Jun Wen, Jia Wei, Zhiwen Yu

Neurocomputing, 2012

2011

Relative nearest neighbors for classification.

Guihua Wen, Jia Wei, Zhiwen Yu, Jun Wen, Lijun Jiang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Locally Centralizing Samples for Nearest Neighbors.

Guihua Wen, Si Wen, Jun Wen, Lijun Jiang

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Perceptual nearest neighbors for classification.

Guihua Wen, Jun Wen, Lijun Jiang

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Modeling Gestalt laws for classification.

Guihua Wen, Xingjiang Pan, Lijun Jiang, Jun Wen

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Local relative transformation with application to isometric embedding.

Guihua Wen, Lijun Jiang, Jun Wen

Pattern Recognit. Lett., 2009

Authors response to 'A comment on "Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding"'.

Guihua Wen, Lijun Jiang, Jun Wen

Pattern Recognit., 2009

2008

Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding.

Guihua Wen, Lijun Jiang, Jun Wen

Pattern Recognit., 2008

Kernel relative transformation with applications to enhancing locally linear embedding.

Guihua Wen, Lijun Jiang, Jun Wen

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Improved Locally Linear Embedding by Cognitive Geometry.

Guihua Wen, Lijun Jiang, Jun Wen

Proceedings of the Life System Modeling and Simulation, International Conference, 2007

2006

Performing Locally Linear Embedding with Adaptable Neighborhood Size on Manifold.

Guihua Wen, Lijun Jiang, Jun Wen, Nigel R. Shadbolt

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Generating Creative Ideas Through Patents.

Guihua Wen, Lijun Jiang, Jun Wen, Nigel R. Shadbolt

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Clustering-Based Nonlinear Dimensionality Reduction on Manifold.

Guihua Wen, Lijun Jiang, Jun Wen, Nigel R. Shadbolt

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006