Humanistic intelligence : "wear comp" as a new framework and application for intelligent signal processing -- Adaptive Stochastic resonance -- Learning in the presence of noise -- Incorporating prior information in machine learning by creating virtual examples -- Deterministic annealing for clustering, compression, classification, regression, and speech recognition -- Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control -- A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering and classification -- Semiparametric support vector machines for nonlinear model estimation -- Gradient-based learning applied to document recognition -- Pattern recognition using a family of design algorithms based upon generalized probabilistic descent method -- An approach to adaptive classification -- Reduced-rank intelligent signal processing with application to radar -- Signal detection in a nonstationary environment reformulated as an adaptive pattern classification problem -- Data representation using mixtures of principal components -- Image denoising by sparse code shrinkage