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- Daniel D. Lee, H. Sebastian Seung
- Nature
- 1999

Is perception of the whole based on perception of its parts? There is psychological and physiological evidence for parts-based representations in the brain, and certain computational theories of… (More)

- Daniel D. Lee, H. Sebastian Seung
- NIPS
- 2000

Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Two different multiplicative algorithms for NMF are analyzed. They differ only… (More)

- Jihun Ham, Daniel D. Lee
- ICML
- 2008

In this paper we propose a discriminant learning framework for problems in which data consist of linear subspaces instead of vectors. By treating subspaces as basic elements, we can make learning… (More)

- Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf
- ICML
- 2004

We interpret several well-known algorithms for dimensionality reduction of manifolds as kernel methods. Isomap, graph Laplacian eigenmap, and locally linear embedding (LLE) all utilize local… (More)

- Jihun Ham, Daniel D. Lee, Lawrence K. Saul
- AISTATS
- 2005

In this paper, we study a family of semisupervised learning algorithms for “aligning” different data sets that are characterized by the same underlying manifold. The optimizations of these algorithms… (More)

- H. S. Seung, Daniel D. Lee, Ben Y. Reis, David W. Tank
- Neuron
- 2000

Studies of the neural correlates of short-term memory in a wide variety of brain areas have found that transient inputs can cause persistent changes in rates of action potential firing, through a… (More)

How can we search for low dimensional structure in high dimensional data? If the data is mainly confined to a low dimensional subspace, then simple linear methods can be used to discover the subspace… (More)

- Fei Sha, Lawrence K. Saul, Daniel D. Lee
- NIPS
- 2002

We derive multiplicative updates for solving the nonnegative quadratic programming problem in support vector machines (SVMs). The updates have a simple closed form, and we prove that they converge… (More)

- Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee
- Neural Computation
- 2007

Many problems in neural computation and statistical learning involve optimizations with nonnegativity constraints. In this article, we study convex problems in quadratic programming where the… (More)

- H. Sebastian Seung, Daniel D. Lee
- Science
- 2000

One of the great puzzles of visual perception is how an image that is in perpetual flux can still be seen by the observer as the same object. In an informative Perspective, Seung and Lee explain the… (More)