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MICCAI
2009
Springer
14 years 9 months ago
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma
We introduce an efficient search strategy to substantially accelerate feature based registration. Previous feature based registration algorithms often use truncated search strategi...
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid,...
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
14 years 3 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles
IDEAL
2004
Springer
14 years 2 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 5 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
ICTAI
2000
IEEE
14 years 1 months ago
Consistency checking for Euclidean spatial constraints: a dimension graph approach
In this paper, we address the problem of consistency checking for Euclidean spatial constraints. A dimension graph representation is proposed to maintain the Euclidean spatial con...
Xuan Liu, Shashi Shekhar, Sanjay Chawla