NIPS Proceedingsβ

Daniel D. Lee

17 Papers

  • Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification (2012)
  • Generative Local Metric Learning for Nearest Neighbor Classification (2010)
  • Learning via Gaussian Herding (2010)
  • Extended Grassmann Kernels for Subspace-Based Learning (2008)
  • Blind channel identification for speech dereverberation using l1-norm sparse learning (2007)
  • Beyond Gaussian Processes: On the Distributions of Infinite Networks (2005)
  • Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation (2004)
  • Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines (2002)
  • Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch (2002)
  • Multiplicative Updates for Classification by Mixture Models (2001)
  • Algorithms for Non-negative Matrix Factorization (2000)
  • An Information Maximization Approach to Overcomplete and Recurrent Representations (2000)
  • Algorithms for Independent Components Analysis and Higher Order Statistics (1999)
  • The Nonnegative Boltzmann Machine (1999)
  • Learning a Continuous Hidden Variable Model for Binary Data (1998)
  • The Rectified Gaussian Distribution (1997)
  • Unsupervised Learning by Convex and Conic Coding (1996)
  • 2 Books

  • Advances in Neural Information Processing Systems 29 (2016)
  • Advances in Neural Information Processing Systems 28 (2015)