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106
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IJAR
2007
107views more  IJAR 2007»
15 years 2 months ago
Hybrid possibilistic networks
Possibilistic networks are important tools for dealing with uncertain pieces of information. For multiplyconnected networks, it is well known that the inference process is a hard ...
Salem Benferhat, Salma Smaoui
CORR
2010
Springer
58views Education» more  CORR 2010»
14 years 12 months ago
Towards Theory of Massive-Parallel Proofs. Cellular Automata Approach
In the paper I sketch a theory of massively parallel proofs using cellular automata presentation of deduction. In this presentation inference rules play the role of cellular-autom...
Andrew Schumann
108
Voted
DIAGRAMS
2006
Springer
15 years 6 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
140
Voted
CVPR
2009
IEEE
16 years 8 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
135
Voted
SAS
2005
Springer
114views Formal Methods» more  SAS 2005»
15 years 8 months ago
Type-Safe Optimisation of Plugin Architectures
Programmers increasingly implement plugin architectures in type-safe object-oriented languages such as Java. A virtual machine can dynamically load class files containing plugins,...
Neal Glew, Jens Palsberg, Christian Grothoff