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DAGM
2008
Springer
14 years 11 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
SGP
2003
14 years 10 months ago
Global Conformal Parameterization
We solve the problem of computing global conformal parameterizations for surfaces with nontrivial topologies. The parameterization is global in the sense that it preserves the con...
Xianfeng Gu, Shing-Tung Yau
SCALESPACE
1999
Springer
15 years 1 months ago
Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...
Petros Maragos, Fernand Meyer
CVGIP
2004
175views more  CVGIP 2004»
14 years 9 months ago
A subdivision-based deformable model for surface reconstruction of unknown topology
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...
Ye Duan, Hong Qin
COLING
2000
14 years 10 months ago
Language Identification In Unknown Signals
This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
John R. Elliott, Eric Atwell, Bill Whyte