List of works - Daniel D. Lee

A Neural Network Based Head Tracking System ⬇️

Algorithms for Independent Components Analysis and Higher Order Statistics ⬇️

scholarly article by Daniel D. Lee et al published 2000 in Advances in Neural Information Processing Systems 12

Algorithms for non-negative matrix factorization ⬇️

scientific article published on 2001

An Information Maximization Approach to Overcomplete and Recurrent Representations ⬇️

scientific article published in January 2001

Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence

scientific article published on 14 June 2018

Classification and Geometry of General Perceptual Manifolds

scholarly article

Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification ⬇️

scientific article published in January 2012

Fluid Dynamic Models for Bhattacharyya-based Discriminant Analysis

scientific article

Generative Local Metric Learning for Kernel Regression ⬇️

scientific article published in January 2017

Generative Local Metric Learning for Nearest Neighbor Classification ⬇️

Generative Local Metric Learning for Nearest Neighbor Classiﬁcation

scientific article

Learning Data Manifolds with a Cutting Plane Method

scientific article published on 27 August 2018

Learning a Continuous Hidden Variable Model for Binary Data ⬇️

article published in 1999

Learning the parts of objects by non-negative matrix factorization

scientific article (publication date: 21 October 1999)

Linear readout of object manifolds. ⬇️

scientific article published on 30 June 2016

Molecular learning with DNA kernel machines.

scientific article published on 7 July 2015

Multiplicative Updates for Classification by Mixture Models ⬇️

Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines ⬇️

scientific article published in January 2003

Multiplicative updates for nonnegative quadratic programming

scientific article

Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch ⬇️

scientific article published in January 2003

Separability and geometry of object manifolds in deep neural networks

scientific article published on 06 February 2020

Short-term memory in orthogonal neural networks

scientific article published on 9 April 2004

The Rectified Gaussian Distribution ⬇️

Unsupervised Learning by Convex and Conic Coding ⬇️

scientific article published in January 1997

List of works by Daniel D. Lee

A Neural Network Based Head Tracking System ⬇️

Algorithms for Independent Components Analysis and Higher Order Statistics ⬇️

Algorithms for non-negative matrix factorization ⬇️

An Information Maximization Approach to Overcomplete and Recurrent Representations ⬇️

Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence

Classification and Geometry of General Perceptual Manifolds

Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification ⬇️

Fluid Dynamic Models for Bhattacharyya-based Discriminant Analysis

Generative Local Metric Learning for Kernel Regression ⬇️

Generative Local Metric Learning for Nearest Neighbor Classification ⬇️

Generative Local Metric Learning for Nearest Neighbor Classiﬁcation

Learning Data Manifolds with a Cutting Plane Method

Learning a Continuous Hidden Variable Model for Binary Data ⬇️

Learning the parts of objects by non-negative matrix factorization

Linear readout of object manifolds. ⬇️

Molecular learning with DNA kernel machines.

Multiplicative Updates for Classification by Mixture Models ⬇️

Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines ⬇️

Multiplicative updates for nonnegative quadratic programming

Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch ⬇️

Separability and geometry of object manifolds in deep neural networks

Short-term memory in orthogonal neural networks

The Rectified Gaussian Distribution ⬇️

Unsupervised Learning by Convex and Conic Coding ⬇️