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» Partial Orders, Event Structures and Linear Strategies
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ICIP
2006
IEEE
14 years 10 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
ACSD
2006
IEEE
106views Hardware» more  ACSD 2006»
14 years 2 months ago
Synchronous + Concurrent + Sequential = Earlier than + Not later than
In this paper, we show how to obtain causal semantics distinguishing ”earlier than” and ”not later than” causality between events from algebraic semantics of Petri nets. J...
Gabriel Juhás, Robert Lorenz, Sebastian Mau...
APN
2008
Springer
13 years 10 months ago
Faster Unfolding of General Petri Nets Based on Token Flows
In this paper we propose two new unfolding semantics for general Petri nets combining the concept of prime event structures with the idea of token flows developed in [11]. In contr...
Robin Bergenthum, Robert Lorenz, Sebastian Mauser
FUIN
2008
124views more  FUIN 2008»
13 years 8 months ago
Causal Semantics of Algebraic Petri Nets distinguishing Concurrency and Synchronicity
In this paper, we show how to obtain causal semantics distinguishing "earlier than" and "not later than" causality between events from algebraic semantics of Pe...
Gabriel Juhás, Robert Lorenz, Sebastian Mau...
ISMB
1993
13 years 10 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic