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GRC
2008
IEEE
15 years 4 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
15 years 1 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
JMLR
2010
186views more  JMLR 2010»
14 years 10 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
108
Voted
AAAI
1997
15 years 4 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
IJON
2002
123views more  IJON 2002»
15 years 2 months ago
N-bit parity neural networks: new solutions based on linear programming
In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer. The activation function used i...
Derong Liu, Myron E. Hohil, Stanley H. Smith