NIPS Proceedingsβ

Todd K. Leen

15 Papers

  • Hierarchical Fisher Kernels for Longitudinal Data (2008)
  • Semi-supervised Learning with Penalized Probabilistic Clustering (2004)
  • Parameterized Novelty Detectors for Environmental Sensor Monitoring (2003)
  • From Mixtures of Mixtures to Adaptive Transform Coding (2000)
  • Probabilistic Image Sensor Fusion (1998)
  • Two Approaches to Optimal Annealing (1997)
  • Using Curvature Information for Fast Stochastic Search (1996)
  • Classifying with Gaussian Mixtures and Clusters (1994)
  • From Data Distributions to Regularization in Invariant Learning (1994)
  • Fast Non-Linear Dimension Reduction (1993)
  • Fast Pruning Using Principal Components (1993)
  • Optimal Stochastic Search and Adaptive Momentum (1993)
  • Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria (1992)
  • Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times (1992)
  • Dynamics of Learning in Recurrent Feature-Discovery Networks (1990)
  • 3 Books

  • Advances in Neural Information Processing Systems 13 (2000)
  • Advances in Neural Information Processing Systems 12 (1999)
  • Advances in Neural Information Processing Systems 7 (1994)