171 | -- | 175 | David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle. Guest Editorial for Special Issue on Machine Learning for Signal Processing |
177 | -- | 188 | Samuel Kaski, Janne Sinkkonen. Principle of Learning Metrics for Exploratory Data Analysis |
189 | -- | 197 | Naonori Ueda, Masashi Inoue. Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data |
199 | -- | 209 | John Browning, David J. Miller. A Maximum Entropy Approach for Collaborative Filtering |
211 | -- | 222 | Marc M. Van Hulle, Temujin Gautama. Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes |
223 | -- | 235 | Angel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal. Advantages of Unbiased Support Vector Classifiers for Data Mining Applications |
237 | -- | 246 | Rujirutana Srikanchana, Jianhua Xuan, Matthew T. Freedman, Charles C. Nguyen, Yue Wang. Non-Rigid Image Registration by Neural Computation |
247 | -- | 261 | Scott C. Douglas, Shun-ichi Amari, S. Y. Kung. Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution |
263 | -- | 279 | Hichem Snoussi, Ali Mohammad-Djafari. Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior |
281 | -- | 291 | Vince D. Calhoun, Godfrey D. Pearlson, Tülay Adali. Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results |
293 | -- | 303 | Xiaohui Zhang, C.-H. Chen. Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images |
305 | -- | 317 | Deniz Erdogmus, José C. Príncipe. Lower and Upper Bounds for Misclassification Probability Based on Renyi s Information |
319 | -- | 331 | David Luengo, Carlos Ramon Pantaleon Dionisio, Ignacio Santamaría, Luis Vielva, Jesús Ibáñez. Multiple Composite Hypothesis Testing: A Competitive Approach |
333 | -- | 344 | Yadunandana N. Rao, José C. Príncipe, Tan F. Wong. Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications |