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» Restricting and Embedding Imperatives
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146
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ENTCS
2010
110views more  ENTCS 2010»
15 years 21 days ago
Formalizing Homogeneous Language Embeddings
The cost of implementing syntactically distinct Domain Specific Languages (DSLs) can be reduced by homogeneously embedding them in a host language in cooperation with its compiler...
Tony Clark, Laurence Tratt
ESANN
2006
15 years 4 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
JOLLI
2011
84views more  JOLLI 2011»
14 years 6 months ago
Semantically Restricted Argument Dependencies
This paper presents a new take on how argument dependencies in natural language are established and constrained. The paper starts with a rather standard view that (quantificationa...
Alastair Butler
CVPR
2007
IEEE
16 years 5 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat
132
Voted
FPL
2009
Springer
156views Hardware» more  FPL 2009»
15 years 8 months ago
A highly scalable Restricted Boltzmann Machine FPGA implementation
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...