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A Conscience On-line Learning Approach for Kernel-Based Clustering
Found in: Data Mining, IEEE International Conference on
By Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu
Issue Date:December 2010
pp. 531-540
Kernel-based clustering is one of the most popular methods for partitioning nonlinearly separable dataset. However, exhaustive search for the global optimum is NP-hard. Iterative procedure such as k-means can be used to seek one of the local minima. Unfort...
 
Multi-Exemplar Affinity Propagation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Chang-Dong Wang, Jian-Huang Lai,Ching Y. Suen, Jun-Yong Zhu
Issue Date:September 2013
pp. 2223-2237
The affinity propagation (AP) clustering algorithm has received much attention in the past few years. AP is appealing because it is efficient, insensitive to initialization, and it produces clusters at a lower error rate than other exemplar-based methods. ...
 
Logarithm Gradient Histogram: A general illumination invariant descriptor for face recognition
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Jun-Yong Zhu, Wei-Shi Zheng, Jian-Huang Lai
Issue Date:April 2013
pp. 1-8
In the last decade, illumination problem has been the bottleneck of robust face recognition system. Extracting illumination invariant features becomes more and more significant to solve this issue. However, existing works in this field only consider the va...
   
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