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ACCV
2009
Springer
14 years 2 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
WEBIST
2008
13 years 9 months ago
Transforming a Competency Model to Parameterised Questions in Assessment
The problem of comparing and matching different learners' knowledge arises when assessment systems use a one-dimensional numerical value to represent "knowledge level&quo...
Onjira Sitthisak, Lester Gilbert, Hugh C. Davis
SDM
2004
SIAM
229views Data Mining» more  SDM 2004»
13 years 9 months ago
R-MAT: A Recursive Model for Graph Mining
How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
Deepayan Chakrabarti, Yiping Zhan, Christos Falout...
PPDP
2009
Springer
14 years 2 months ago
An Isabelle/HOL-based model of stratego-like traversal strategies
Traversal strategies are at the heart of transformational programming with rewriting-based frameworks such as Stratego/XT or Tom and specific approaches for generic functional pr...
Markus Kaiser, Ralf Lämmel
CADE
2010
Springer
13 years 9 months ago
MCMT: A Model Checker Modulo Theories
Abstract. We describe mcmt, a fully declarative and deductive symbolic model checker for safety properties of infinite state systems whose state variables are arrays. Theories spec...
Silvio Ghilardi, Silvio Ranise