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» Learning a Generative Model for Structural Representations
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ML
2011
ACM
308views Machine Learning» more  ML 2011»
13 years 3 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
BPM
2009
Springer
116views Business» more  BPM 2009»
14 years 3 months ago
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
Abstract. Recently, a new generation of adaptive Process-Aware Information Systems (PAISs) has emerged, which enables structural process changes during runtime. Such flexibility, ...
Chen Li, Manfred Reichert, Andreas Wombacher
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
14 years 9 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
CVPR
2007
IEEE
14 years 3 months ago
Accurate Dynamic Sketching of Faces from Video
A sketch captures the most informative part of an object, in a much more concise and potentially robust representation (e.g., for face recognition or new capabilities of manipulat...
Zijian Xu, Jiebo Luo
CAV
2007
Springer
108views Hardware» more  CAV 2007»
14 years 3 months ago
Systematic Acceleration in Regular Model Checking
Abstract. Regular model checking is a form of symbolic model checking technique for systems whose states can be represented as finite words over a finite alphabet, where regular ...
Bengt Jonsson, Mayank Saksena