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ICPR
2010
IEEE
14 years 11 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
INFOCOM
2012
IEEE
13 years 1 days ago
Scalable routing in 3D high genus sensor networks using graph embedding
—We study scalable routing for a sensor network deployed in complicated 3D settings such as underground tunnels in gas system or water system. The nodes are in general 3D space b...
Xiaokang Yu, Xiaotian Yin, Wei Han, Jie Gao, Xianf...
71
Voted
ECCC
2010
89views more  ECCC 2010»
14 years 9 months ago
Estimating the unseen: A sublinear-sample canonical estimator of distributions
We introduce a new approach to characterizing the unobserved portion of a distribution, which provides sublinear-sample additive estimators for a class of properties that includes...
Gregory Valiant, Paul Valiant
79
Voted
APAL
2006
103views more  APAL 2006»
14 years 9 months ago
Canonical structure in the universe of set theory: part two
We prove a number of consistency results complementary to the ZFC results from our paper [4]. We produce examples of non-tightly stationary mutually stationary sequences, sequences...
James Cummings, Matthew Foreman, Menachem Magidor
LFCS
2009
Springer
15 years 4 months ago
Canonical Signed Calculi, Non-deterministic Matrices and Cut-Elimination
Canonical propositional Gentzen-type calculi are a natural class of systems which in addition to the standard axioms and structural rules have only logical rules where exactly one ...
Arnon Avron, Anna Zamansky