|
11
|
An EM Approach to Learning Sequential Behavior
– Yoshua Bengio, Paolo Frasconi
- 1994
|
|
82
|
Input/output hmms for sequence processing
– Yoshua Bengio, Paolo Frasconi
- 1996
|
|
47
|
Support vector machines for speech recognition
– Aravind Ganapathiraju, Jonathan Hamaker, Joseph Picone
- 1998
|
|
2
|
Gradient-Based Learning for Object Detection, Segmentation and Recognition
– Yann Lecun, Patrick Haffner, Yoshua Bengio, Leon Bottou
- 1999
|
|
5
|
Object Recognition with Gradient-Based Learning
– Yann Lecun, Patrick Haffner, Léon Bottou, Yoshua Bengio
- 1999
|
|
1
|
Recurrent Neural Networks for Adaptive Temporal Processing
– Yoshua Bengio, Paolo Frasconi, Marco Gori
- 1993
|
|
5
|
Optimal Learning in Artificial Neural Networks: A Theoretical View
– M. Bianchini, M. Gori
|
|
1
|
Divide and Conquer: Pattern Recognition using Mixtures of Experts
– Steve Waterhouse, Steve Waterhouse
- 1997
|
|
279
|
An introduction to kernel-based learning algorithms
– Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf
- 2001
|
|
165
|
An Application of Recurrent Nets to Phone Probability Estimation
– Tony Robinson
- 1994
|
|
1
|
Nonlinear Image Processing Using Artificial Neural Networks
– Dick de Ridder, Robert P.W. Duin, Michael Egmont-petersen, Lucas J. van Vliet, Piet W. Verbeek
- 2003
|
|
69
|
Markovian Models for Sequential Data
– Yoshua Bengio
- 1996
|
|
1
|
Penactive: A Neural Net System for Recognizing On-line Handwriting
– I. Guyon, J. Bromley, N. Mati, M. Schenkel, H. Weissman
|
|
|
USING AUXILIARY SOURCES OF KNOWLEDGE FOR AUTOMATIC SPEECH RECOGNITION
– Mathew Magimai Doss
- 2005
|
|
|
Mitsubishi Electric Research Laboratories
– Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher
- 2002
|
|
7
|
Augmented Statistical Models for Classifying Sequence Data
– Martin Layton
- 2006
|
|
131
|
Object Tracking: A Survey
– Alper Yilmaz, Omar Javed, Mubarak Shah
- 2006
|
|
12
|
On Supervised Learning From Sequential Data With Applications For Speech Recognition
– Michael Schuster
- 1999
|
|
27
|
Classification and Regression using Mixtures of Experts
– Steven Richard Waterhouse
- 1997
|