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## Search the dblp DataBase
Ivor W. Tsang:
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## Publications of Author- Ivor W. Tsang, James T. Kwok
**Efficient Hyperkernel Learning Using Second-Order Cone Programming.**[Citation Graph (0, 0)][DBLP] ECML, 2004, pp:453-464 [Conf] - Ivor W. Tsang, András Kocsor, James T. Kwok
**Diversified SVM Ensembles for Large Data Sets.**[Citation Graph (0, 0)][DBLP] ECML, 2006, pp:792-800 [Conf] - James T. Kwok, Ivor W. Tsang
**Learning with Idealized Kernels.**[Citation Graph (0, 0)][DBLP] ICML, 2003, pp:400-407 [Conf] - James T. Kwok, Ivor W. Tsang
**The Pre-Image Problem in Kernel Methods.**[Citation Graph (0, 0)][DBLP] ICML, 2003, pp:408-415 [Conf] - Ivor W. Tsang, James T. Kwok, Kimo T. Lai
**Core Vector Regression for very large regression problems.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:912-919 [Conf] - Ivor W. Tsang, James T. Kwok
**Ensembles of Partially Trained SVMs with Multiplicative Updates.**[Citation Graph (0, 0)][DBLP] IJCAI, 2007, pp:1089-1094 [Conf] - Ivor W. Tsang, András Kocsor, James T. Kwok
**Efficient kernel feature extraction for massive data sets.**[Citation Graph (0, 0)][DBLP] KDD, 2006, pp:724-729 [Conf] - Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung
**Core Vector Machines: Fast SVM Training on Very Large Data Sets.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2005, v:6, n:, pp:363-392 [Journal] - Ivor W. Tsang, András Kocsor, James T. Kwok
**Simpler core vector machines with enclosing balls.**[Citation Graph (0, 0)][DBLP] ICML, 2007, pp:911-918 [Conf] - Kai Zhang, Ivor W. Tsang, James T. Kwok
**Maximum margin clustering made practical.**[Citation Graph (0, 0)][DBLP] ICML, 2007, pp:1119-1126 [Conf] - Ivor W. Tsang, James T. Kwok
**Large-Scale Sparsified Manifold Regularization.**[Citation Graph (0, 0)][DBLP] NIPS, 2006, pp:1401-1408 [Conf] **Improved Nyström low-rank approximation and error analysis.**[Citation Graph (, )][DBLP]**SimpleNPKL: simple non-parametric kernel learning.**[Citation Graph (, )][DBLP]**Domain adaptation from multiple sources via auxiliary classifiers.**[Citation Graph (, )][DBLP]**Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.**[Citation Graph (, )][DBLP]**Domain Adaptation via Transfer Component Analysis.**[Citation Graph (, )][DBLP]**Spectral Embedded Clustering.**[Citation Graph (, )][DBLP]**Learning the Kernel in Mahalanobis One-Class Support Vector Machines.**[Citation Graph (, )][DBLP]**Extracting discriminative concepts for domain adaptation in text mining.**[Citation Graph (, )][DBLP]**Using large-scale web data to facilitate textual query based retrieval of consumer photos.**[Citation Graph (, )][DBLP]**T-IRS: textual query based image retrieval system for consumer photos.**[Citation Graph (, )][DBLP]**A Convex Method for Locating Regions of Interest with Multi-instance Learning.**[Citation Graph (, )][DBLP]**Predictive Distribution Matching SVM for Multi-domain Learning.**[Citation Graph (, )][DBLP]**A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.**[Citation Graph (, )][DBLP]
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