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» Learning Flexible Features for Conditional Random Fields
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ECCV
2004
Springer
16 years 1 months ago
MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points
We investigate the automated reconstruction of piecewise smooth 3D curves, using subdivision curves as a simple but flexible curve representation. This representation allows taggin...
Michael Kaess, Rafal Zboinski, Frank Dellaert
CHI
2002
ACM
16 years 4 days ago
An evaluation of a multiple interface design solution for bloated software
This study examines a novel interface design for heavilyfeatured productivity software. The design includes two interfaces between which the user can easily toggle: (1) an interfa...
Joanna McGrenere, Ronald Baecker, Kellogg S. Booth
ICML
2007
IEEE
16 years 18 days ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
JMLR
2010
135views more  JMLR 2010»
14 years 10 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
EMNLP
2009
14 years 9 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum