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158
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ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 3 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
147
Voted
ML
1998
ACM
139views Machine Learning» more  ML 1998»
15 years 3 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
NN
1998
Springer
15 years 3 months ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
PAMI
1998
112views more  PAMI 1998»
15 years 3 months ago
Efficient Region Tracking With Parametric Models of Geometry and Illumination
—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the im...
Gregory D. Hager, Peter N. Belhumeur
TIT
1998
121views more  TIT 1998»
15 years 3 months ago
Blind Multiuser Detection: A Subspace Approach
—A new multiuser detection scheme based on signal subspace estimation is proposed. It is shown that under this scheme, both the decorrelating detector and the linear minimummean-...
Xiaodong Wang, H. Vincent Poor
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