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» Understanding COBOL Systems using Inferred Types
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DLS
2009
150views Languages» more  DLS 2009»
13 years 5 months ago
Fast type reconstruction for dynamically typed programming languages
Type inference and type reconstruction derive static types for program elements that have no static type associated with them. They have a wide range of usage, such as helping to ...
Frédéric Pluquet, Antoine Marot, Roe...
DIAGRAMS
2006
Springer
13 years 11 months ago
Communicative Signals as the Key to Automated Understanding of Simple Bar Charts
This paper discusses the types of communicative signals that frequently appear in simple bar charts and how we exploit them as evidence in our system for inferring the intended mes...
Stephanie Elzer, Sandra Carberry, Seniz Demir
MLDM
2009
Springer
14 years 2 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 7 months ago
Towards Parameterized Regular Type Inference Using Set Constraints
We propose a method for inferring parameterized regular types for logic programs as solutions for systems of constraints over sets of finite ground Herbrand terms (set constraint s...
Francisco Bueno, Jorge A. Navas, Manuel V. Hermene...
ICCV
2011
IEEE
12 years 7 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid