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73
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CVPR
2006
IEEE
15 years 3 months ago
Fast Variational Segmentation using Partial Extremal Initialization
In this paper we consider region-based variational segmentation of two- and three-dimensional images by the minimization of functionals whose fidelity term is the quotient of two...
Jan Erik Solem, Niels Chr. Overgaard, Markus Perss...
IVC
2007
95views more  IVC 2007»
14 years 9 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
74
Voted
AAAI
2011
13 years 9 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
ACL
2012
13 years 20 hour ago
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
Xu Sun, Houfeng Wang, Wenjie Li
ICASSP
2011
IEEE
14 years 1 months ago
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization
Alternating optimization algorithms for canonical polyadic decomposition (with/without nonnegative constraints) often accompany update rules with low computational cost, but could...
Anh Huy Phan, Petr Tichavský, Andrzej Cicho...