2007 |
19 | EE | V. L. Huang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
Mehmet Fatih Tasgetiren:
Multi-objective optimization based on self-adaptive differential evolution algorithm.
IEEE Congress on Evolutionary Computation 2007: 3601-3608 |
2006 |
18 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
C. H. Tay,
H. S. Pa:
Personal Identification System based on Multiple Palmprint Features.
ICARCV 2006: 1-6 |
17 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis.
ICPR (3) 2006: 125-128 |
16 | EE | Jing J. Liang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
S. Baskar:
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions.
IEEE Trans. Evolutionary Computation 10(3): 281-295 (2006) |
15 | EE | Jing J. Liang,
S. Baskar,
Ponnuthurai N. Suganthan,
A. Kai Qin:
Performance Evaluation of Multiagent Genetic Algorithm.
Natural Computing 5(1): 83-96 (2006) |
14 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction.
Pattern Recognition 39(9): 1805-1808 (2006) |
2005 |
13 | | A. Kai Qin,
S. Y. M. Shi,
Ponnuthurai N. Suganthan,
Marco Loog:
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data.
AAAI 2005: 851-855 |
12 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Self-adaptive differential evolution algorithm for numerical optimization.
Congress on Evolutionary Computation 2005: 1785-1791 |
11 | EE | Qin-Yu Zhu,
A. Kai Qin,
Ponnuthurai N. Suganthan,
Guang-Bin Huang:
Evolutionary extreme learning machine.
Pattern Recognition 38(10): 1759-1763 (2005) |
10 | EE | E. Ke Tang,
Ponnuthurai N. Suganthan,
Xin Yao,
A. Kai Qin:
Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognition 38(4): 485-493 (2005) |
9 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion.
Pattern Recognition 38(4): 613-616 (2005) |
8 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Initialization insensitive LVQ algorithm based on cost-function adaptation.
Pattern Recognition 38(5): 773-776 (2005) |
7 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Enhanced neural gas network for prototype-based clustering.
Pattern Recognition 38(8): 1275-1288 (2005) |
2004 |
6 | EE | Jing J. Liang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
S. Baskar:
Evaluation of Comprehensive Learning Particle Swarm Optimizer.
ICONIP 2004: 230-235 |
5 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Kernel Neural Gas Algorithms with Application to Cluster Analysis.
ICPR (4) 2004: 617-620 |
4 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
A Novel Kernel Prototype-Based Learning Algorithm.
ICPR (4) 2004: 621-624 |
3 | EE | Jing J. Liang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
S. Baskar:
Particle swarm optimization algorithms with novel learning strategies.
SMC (4) 2004: 3659-3664 |
2 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Jing J. Liang:
A new generalized LVQ algorithm via harmonic to minimum distance measure transition.
SMC (5) 2004: 4821-4825 |
1 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Robust growing neural gas algorithm with application in cluster analysis.
Neural Networks 17(8-9): 1135-1148 (2004) |