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» Graph of Neural Networks for Pattern Recognition
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NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 18 days ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
BSN
2009
IEEE
106views Sensor Networks» more  BSN 2009»
14 years 1 months ago
Transitional Activity Recognition with Manifold Embedding
— Activity monitoring is an important part of pervasive sensing, particularly for assessing activities of daily living for elderly patients and those with chronic diseases. Previ...
Raza Ali, Louis Atallah, Benny P. L. Lo, Guang-Zho...
ICDAR
2009
IEEE
13 years 6 months ago
Towards Handwritten Mathematical Expression Recognition
In this paper, we propose a new framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognitio...
Ahmad-Montaser Awal, Harold Mouchère, Chris...
TNN
1998
254views more  TNN 1998»
13 years 8 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
WWW
2005
ACM
14 years 9 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han