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NIPS
2004
15 years 7 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
MMAS
2010
Springer
15 years 1 months ago
Wave Transmission through Random Layering with Pressure Release Boundary Conditions
This paper considers the statistical properties of the waves generated by a point source in the subsurface and transmitted towards the surface through a randomly layered medium. Th...
Josselin Garnier, Knut Sølna
ICASSP
2011
IEEE
14 years 10 months ago
A Kalman-like algorithm with no requirements for noise and initial conditions
We address a Kalman-like estimator for solving universally the problems of filtering (p = 0), prediction (p > 0), and smoothing (p < 0) of discrete time-varying state-space...
Yuriy S. Shmaliy
ECCV
2002
Springer
16 years 8 months ago
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
Abstract. The propose of this paper is to introduce a new regularization formulation for inverse problems in computer vision and image processing that allows one to reconstruct sec...
José L. Marroquín, Mariano Rivera
ICPR
2008
IEEE
16 years 7 months ago
Extraction of shoe-print patterns from impression evidence using Conditional Random Fields
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
Sargur N. Srihari, Veshnu Ramakrishnan