Ningsong Peng

According to our database1, Ningsong Peng authored at least 13 papers between 2004 and 2006.

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

Timeline

Legend:

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Links

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Bibliography

2006
Improved-LDA based face recognition using both facial global and local information.
Pattern Recognit. Lett., 2006

Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering.
Pattern Recognit. Lett., 2006

Rigid Object Tracking Using Mean-Shift with Adaptive Kernel Bandwidth Selection.
Int. J. Inf. Acquis., 2006

2005
An efficient face segmentation algorithm based on binary partition tree.
Signal Process. Image Commun., 2005

Mean shift blob tracking with kernel histogram filtering and hypothesis testing.
Pattern Recognit. Lett., 2005

Semi-automatic video object segmentation using seeded region merging and bidirectional projection.
Pattern Recognit. Lett., 2005

Finding Minimal Rough Set Reducts with Particle Swarm Optimization.
Proceedings of the Rough Sets, 2005

Weighted Information Entropy: A Method for Estimating the Complex Degree of Infrared Images' Backgrounds.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Fuzzy-Rough Set Based Nearest Neighbor Clustering Classification Algorithm.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Synergism in Color Image Segmentation.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

A New Tracking Mechanism for Semi-automatic Video Object Segmentation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Kernel-Bandwidth Adaptation for Tracking Object Changing in Size.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion.
Proceedings of the Statistical Methods in Video Processing, 2004


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