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» Propagation Redundancy in Redundant Modelling
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ICCPOL
2009
Springer
13 years 7 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
ICASSP
2011
IEEE
13 years 29 days ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares
ICPR
2008
IEEE
14 years 3 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
BPM
2007
Springer
201views Business» more  BPM 2007»
14 years 3 months ago
Towards Formal Analysis of Artifact-Centric Business Process Models
Abstract. Business process (BP) modeling is a building block for design and management of business processes. Two fundamental aspects of BP modeling are: a formal framework that we...
Kamal Bhattacharya, Cagdas Evren Gerede, Richard H...
ICARCV
2006
IEEE
126views Robotics» more  ICARCV 2006»
14 years 3 months ago
Developments in Snake Robot Modeling and Locomotion
— Snake robots may one day play a crucial role in search and rescue operations and fire-fighting where it may either be too narrow or to dangerous for personnel to operate. Pro...
Aksel Andreas Transeth, Kristin Ytterstad Petterse...