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TKDE
2012
245views Formal Methods» more  TKDE 2012»
12 years 1 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
TOG
2012
298views Communications» more  TOG 2012»
12 years 1 months ago
Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting
We introduce tensor displays: a family of compressive light field displays comprising all architectures employing a stack of timemultiplexed, light-attenuating layers illuminated...
Gordon Wetzstein, Douglas Lanman, Matthew Hirsch, ...
ICDAR
2011
IEEE
12 years 11 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
JCIT
2010
255views more  JCIT 2010»
13 years 6 months ago
Digital Watermarking Particle Swarm Optimization Based on Multi-wavelet
Watermark perceptibility and robustness must be ensured in order to enhance the practicality of digital watermarking. Taking human visual system characteristics into account fully...
Yinghui Pan
IEICET
2010
96views more  IEICET 2010»
13 years 10 months ago
An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA
—To recover texture images from impulse noise by the opening operation which is one of morphological operations, an suitable structuring element (SE) has to be estimated. Hithert...
Hiroyuki Okuno, Yoshiko Hanada, Mitsuji Muneyasu, ...
PRL
2007
131views more  PRL 2007»
13 years 11 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...
Xiaodong He, Li Deng
METMBS
2003
138views Mathematics» more  METMBS 2003»
14 years 24 days ago
A Stochastic Method for Solving Inverse Problems in Epidemic Modelling
— We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected that these inverse prob...
Dominik Novotni, Andreas Weber 0004
IROS
2009
IEEE
170views Robotics» more  IROS 2009»
14 years 6 months ago
Optimal trajectory design for parametric excitation walking
— Parametric excitation walking is one of methods that realize a passive dynamic like walking on the level ground. In parametric excitation walking, up-and-down motion of the cen...
Yoshihisa Banno, Yuji Harata, Kouichi Taji, Yoji U...