OPTEC - K.U.Leuven Center of Excellence: Optimization in Engineering

IT (Articles in internationally reviewed academic journals)

Varon Perez, J., Alzate Perez, C., Suykens, J., Debosscher, J. (2011). Kernel Spectral Clustering of Time Series in the CoRoT Exoplanet Database. Astronomy & Astrophysics, 531 (A156), 1-15.

Alzate Perez, C., Suykens, J. (2011). Sparse Kernel spectral clustering models for large-scale data analysis. Neurocomputing, 74 (9), 1382-1390.

Alzate Perez, C., Suykens, J. (2008). Kernel component analysis using an epsilon insensitive robust loss function. IEEE Transactions on Neural Networks, 19 (9), 1583-1598.

Alzate Perez, C., Suykens, J. (2008). A Regularized Kernel CCA Contrast Function for ICA. Neural Networks, 21 (2-3), 170-181.

Alzate Perez, C., Suykens, J. (2007). Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (2), 335-347.

IC (Papers at international scientific conferences and symposia, published in full in proceedings)

Alzate Perez, C., Suykens, J. (2012). A semi-supervised formulation to binary kernel spectral clustering. Proc. of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012): Vol. accepted. 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012). Brisbane, Australia, Jun. 2012.

Langone, R., Alzate Perez, C., Suykens, J. (2012). Kernel spectral clustering for community detection in complex networks. Proc. of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012): Vol. accepted. 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012). Brisbane, Australia, Jun. 2012.

Mehrkanoon, S., Jiang, L., Alzate Perez, C., Suykens, J. (2011). Symbolic computing of LS-SVM based models. Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN. Brugge, Belgium, Apr. 2011 (pp. 183-188).

Langone, R., Alzate Perez, C., Suykens, J. (2011). Modularity-based model selection for kernel spectral clustering. Proc. of the International Joint Conference on Neural Networks. IJCNN 2011. San Jose, USA, Aug. 2011 (pp. 1849-1856).

Alzate Perez, C., Suykens, J. (2011). Out-of-sample eigenvectors in Kernel Spectral Clustering. Proc. of the International Joint Conference on Neural Networks. IJCNN 2011. San Jose, USA, Aug. 2011 (pp. 2349-2356).

Alzate Perez, C., Suykens, J. (2010). Highly Sparse Kernel Spectral Clustering with Predictive Out-of-Sample Extensions. Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2010): Vol. accepted. European Symposium on Artificial Neural Networks (ESANN 2010). Brugge, Belgium, Apr. 2010 (pp. 235-240).

Alzate Perez, C., Espinoza, M., De Moor, B., Suykens, J. (2009). Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering'. Proc. of International Conference on Artificial Neural Networks (ICANN) 2009. International Conference on Artificial Neural Networks (ICANN) 2009. Limassol, Cyprus, Sept. 2009 (pp. 315-324).

Alzate Perez, C., Suykens, J. (2009). A regularized formulation for spectral clustering with pairwise constraints. Proc. of the 2009 International Joint Conference on Neural Networks (IJCNN'09). 2009 International Joint Conference on Neural Networks (IJCNN'09). Atlanta, USA, Jun. 2009 (pp. 141-148).

Alzate Perez, C., Suykens, J. (2008). Sparse kernel models for spectral clustering using the incomplete cholesky decomposition. Proc. of the 2008 International Joint Conference on Neural Networks (IJCNN 2008). 2008 International Joint Conference on Neural Networks (IJCNN 2008). Hong Kong, China, Jun. 2008 (pp. 3555-3562).

Alzate Perez, C., Suykens, J. (2007). ICA Through an LS-SVM Based Kernel CCA Measure for Independence. Proc. of the 2007 International Joint Conference on Neural Networks (IJCNN 2007). 2007 International Joint Conference on Neural Networks (IJCNN 2007). Orlando, FL. U.S.A., Aug. 2007 (pp. 2920-2925).

Alzate Perez, C., Suykens, J. (2007). Image Segmentation using a Weighted Kernel PCA Approach to Spectral Clustering. Proc. of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007). 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007). Honolulu, U.S.A., Apr. 2007 (pp. 208-213).

Alzate Perez, C., Suykens, J. (2006). A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. Proc. of the 2006 International Joint Conference on Neural Networks (IJCNN'06). 2006 International Joint Conference on Neural Networks (IJCNN'06). Vancouver, Canada, Jul. 2006 (pp. 138-144).

Alzate Perez, C., Suykens, J. (2005). Extending Kernel Principal Component Analysis to General Underlying Loss Functions. Proc. of the International Joint Conference on Neural Networks (IJCNN'05). International Joint Conference on Neural Networks (IJCNN'05). Montréal, Canada, Jul. 2005 (pp. 214-219).

TH (Thesis)

Alzate Perez, C., Suykens, J. (sup.) (2009). Support Vector Methods for Unsupervised Learning (Support Vector Methodes voor niet-gesuperviseerd leren).

Alzate Perez, C., Suykens, J. (sup.), De Moor, B. (sup.) (2009). Support Vector Methods for Unsupervised Learning, 175 pp.

DI (Misc.)

Suykens, J., Alzate Perez, C., Pelckmans, K. (2010). Primal and dual model representations in kernel-based learning. Statistics Surveys, 4, 148-183.

This list is generated from Lirias and contains data from Lirias as it is entered and validated by the researcher.