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» On Comparing Two Scenarios for Probabilistic Image Modelling
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ICCV
2003
IEEE
14 years 10 months ago
Polarization-based Transparent Surface Modeling from Two Views
In this paper, we propose a novel method to recover the surface shape of transparent objects. The degree of polarization of the light reflected from the object surface depends on ...
Daisuke Miyazaki, Masataka Kagesawa, Katsushi Ikeu...
BMCBI
2007
147views more  BMCBI 2007»
13 years 8 months ago
Comparative analysis of long DNA sequences by per element information content using different contexts
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...
Trevor I. Dix, David R. Powell, Lloyd Allison, Jul...
EMNLP
2006
13 years 9 months ago
Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...
Takashi Ninomiya, Takuya Matsuzaki, Yoshimasa Tsur...
CIVR
2008
Springer
213views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Language modeling for bag-of-visual words image categorization
In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...
Pierre Tirilly, Vincent Claveau, Patrick Gros
CAI
1998
Springer
13 years 8 months ago
Information Retrieval, Imaging and Probabilistic Logic
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Fabrizio Sebastiani