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JMLR
2010
112views more  JMLR 2010»
14 years 11 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
SIAMREV
2010
140views more  SIAMREV 2010»
14 years 11 months ago
What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications
Computational Convex Analysis algorithms have been rediscovered several times in the past by researchers from different fields. To further communications between practitioners, we ...
Yves Lucet
MICCAI
2008
Springer
15 years 10 months ago
Soft Tissue Tracking for Minimally Invasive Surgery: Learning Local Deformation Online
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
Peter Mountney and Guang-Zhong Yang
3DIM
2011
IEEE
14 years 4 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
ICDAR
2011
IEEE
14 years 4 months ago
Chinese Chess Character Recognition with Radial Harmonic Fourier Moments
—Radial harmonic Fourier moments (RHFMs) are invariant to translation, rotation, scaling and intensity, which own excellent image description ability, noise-resistant power, and ...
Kejia Wang, Honggang Zhang, Ziliang Ping, Haiying