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MICCAI
2000
Springer
15 years 3 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
JMLR
2010
119views more  JMLR 2010»
14 years 6 months ago
Factorized Orthogonal Latent Spaces
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, ...
CVPR
2007
IEEE
16 years 1 months ago
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds
In this paper, we propose a novel learning-based method for image hallucination, with image super-resolution being a specific application that we focus on here. Given a low-resolu...
Wei Fan, Dit-Yan Yeung
PKC
2012
Springer
255views Cryptology» more  PKC 2012»
13 years 2 months ago
Strongly Secure Authenticated Key Exchange from Factoring, Codes, and Lattices
Abstract. An unresolved problem in research on authenticated key exchange (AKE) is to construct a secure protocol against advanced attacks such as key compromise impersonation and ...
Atsushi Fujioka, Koutarou Suzuki, Keita Xagawa, Ka...
JMLR
2010
112views more  JMLR 2010»
14 years 6 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