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ICPR
2004
IEEE
16 years 7 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...
ML
2008
ACM
15 years 6 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
ICASSP
2011
IEEE
14 years 10 months ago
A multi-stream ASR framework for BLSTM modeling of conversational speech
We propose a novel multi-stream framework for continuous conversational speech recognition which employs bidirectional Long Short-Term Memory (BLSTM) networks for phoneme predicti...
Martin Wöllmer, Florian Eyben, Björn Sch...
IAT
2005
IEEE
16 years 6 days ago
An Approximate Pareto Optimal Cooperative Negotiation Model for Multiple
Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-o...
Nicola Gatti, Francesco Amigoni
CONTEXT
1999
Springer
15 years 11 months ago
Dynamics and Automaticity of Context: A Cognitive Modeling Approach
AI and psychological approaches to context are contrasted and the dynamic and automatic nature of the continuous context change in human cognition is emphasized. A dynamic theory o...
Boicho N. Kokinov