User profiles for Daniel D. Lee
Daniel D. LeeTisch University Professor of ECE, Cornell University Verified email at alum.mit.edu Cited by 44685 |
The manifold ways of perception
Two-and-a-half millennia ago, the Greek philosopher Heraclitus, observing that the world is
in eternal flux, wrote that you can never step in the same river twice. If he were alive today …
in eternal flux, wrote that you can never step in the same river twice. If he were alive today …
Learning the parts of objects by non-negative matrix factorization
Is perception of the whole based on perception of its parts? There is psychological 1 and
physiological 2 , 3 evidence for parts-based representations in the brain, and certain …
physiological 2 , 3 evidence for parts-based representations in the brain, and certain …
A kernel view of the dimensionality reduction of manifolds
We interpret several well-known algorithms for dimensionality reduction of manifolds as
kernel methods. Isomap, graph Laplacian eigenmap, and locally linear embedding (LLE) all …
kernel methods. Isomap, graph Laplacian eigenmap, and locally linear embedding (LLE) all …
[PDF][PDF] Advances in neural information processing systems 22
… Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics
Programs using Neural Networks, Daniel … Blind Regression: Nonparametric Regression …
Programs using Neural Networks, Daniel … Blind Regression: Nonparametric Regression …
Grassmann discriminant analysis: a unifying view on subspace-based learning
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 …
of linear subspaces instead of vectors. By treating subspaces as basic elements, we can …
[PDF][PDF] Stability of the memory of eye position in a recurrent network of conductance-based model neurons
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, …
found that transient inputs can cause persistent changes in rates of action potential firing, …
Equilibrium properties of temporally asymmetric Hebbian plasticity
A theory of temporally asymmetric Hebb rules, which depress or potentiate synapses depending
upon whether the postsynaptic cell fires before or after the presynaptic one, is presented…
upon whether the postsynaptic cell fires before or after the presynaptic one, is presented…
Spectral methods for dimensionality reduction
How can we search for low-dimensional structure in high-dimensional data? If the data are
mainly confined to a low-dimensional subspace, then simple linear methods can be used to …
mainly confined to a low-dimensional subspace, then simple linear methods can be used to …
Learning optimal resource allocations in wireless systems
This paper considers the design of optimal resource allocation policies in wireless
communication systems, which are generically modeled as a functional optimization problem with …
communication systems, which are generically modeled as a functional optimization problem with …
Approximating explicit model predictive control using constrained neural networks
S Chen, K Saulnier, N Atanasov, DD Lee… - 2018 Annual …, 2018 - ieeexplore.ieee.org
This paper presents a method to compute an approximate explicit model predictive control (MPC)
law using neural networks. The optimal MPC control law for constrained linear …
law using neural networks. The optimal MPC control law for constrained linear …