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» Graph Mining based on a Data Partitioning Approach
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152
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ECCV
2008
Springer
16 years 5 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
156
Voted
ICCAD
1999
IEEE
148views Hardware» more  ICCAD 1999»
15 years 7 months ago
SAT based ATPG using fast justification and propagation in the implication graph
In this paper we present new methods for fast justification and propagation in the implication graph (IG) which is the core data structure of our SAT based implication engine. As ...
Paul Tafertshofer, Andreas Ganz
IJSI
2008
129views more  IJSI 2008»
15 years 3 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince
177
Voted
SCALESPACE
2009
Springer
15 years 10 months ago
Adaptation of Eikonal Equation over Weighted Graph
Abstract. In this paper, an adaptation of the eikonal equation is proposed by considering the latter on weighted graphs of arbitrary structure. This novel approach is based on a fa...
Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lezora...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 10 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville