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NIPS
1996
14 years 11 months ago
Neural Models for Part-Whole Hierarchies
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
Maximilian Riesenhuber, Peter Dayan
IROS
2007
IEEE
94views Robotics» more  IROS 2007»
15 years 4 months ago
Two-way translation of compound sentences and arm motions by recurrent neural networks
- We present a connectionist model that combines motions and language based on the behavioral experiences of a real robot. Two models of recurrent neural network with parametric bi...
Tetsuya Ogata, Masamitsu Murase, Jun Tani, Kazunor...
IJCNN
2006
IEEE
15 years 4 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
EACL
1993
ACL Anthology
14 years 11 months ago
Data-Oriented Methods for Grapheme-to-Phoneme Conversion
It is traditionally assumed that various sources of linguistic knowledge and their interaction should be formalised in order to be able to convert words into their phonemic repres...
Antal van den Bosch, Walter Daelemans
PAMI
1998
92views more  PAMI 1998»
14 years 9 months ago
INFORMys: A Flexible Invoice-Like Form-Reader System
—In this paper, we describe a flexible form-reader system capable of extracting textual information from accounting documents, like invoices and bills of service companies. In th...
Francesca Cesarini, Marco Gori, Simone Marinai, Gi...