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ECSQARU
2005
Springer
15 years 8 months ago
Conditional Deduction Under Uncertainty
Conditional deduction in binary logic basically consists of deriving new statements from an existing set of statements and conditional rules. Modus Ponens, which is the classical e...
Audun Jøsang, Simon Pope, Milan Daniel
150
Voted
ICPR
2004
IEEE
16 years 4 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...
PG
2002
IEEE
15 years 8 months ago
Shape-Similarity Search of Three-Dimensional Models Using Parameterized Statistics
In this paper, we propose a method for shape-similarity search of 3D polygonal-mesh models. The system accepts triangular meshes, but tolerates degenerated polygons, disconnected ...
Ryutarou Ohbuchi, Tomo Otagiri, Masatoshi Ibato, T...
157
Voted
ACL
2012
13 years 5 months ago
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...
Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
NAACL
1994
15 years 4 months ago
A Hybrid Approach to Adaptive Statistical Language Modeling
We desert'be our latest attempt at adaptive language modeling. At the heart of our approachis a Maximum Entropy(ME) modelwhich inc.orlxnatesmanyknowledgesources in a consiste...
Ronald Rosenfeld