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RECOMB
2010
Springer
15 years 5 months ago
An Algorithmic Framework for Predicting Side-Effects of Drugs
Abstract. One of the critical stages in drug development is the identification of potential side effects for promising drug leads. Large scale clinical experiments aimed at discove...
Nir Atias, Roded Sharan
TIP
2008
113views more  TIP 2008»
15 years 3 months ago
Phase Local Approximation (PhaseLa) Technique for Phase Unwrap From Noisy Data
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...
Vladimir Katkovnik, Jaakko Astola, Karen O. Egiaza...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 8 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
VLSISP
2008
147views more  VLSISP 2008»
15 years 1 months ago
Data Reuse Exploration for Low Power Motion Estimation Architecture Design in H.264 Encoder
Data access usually leads to more than 50% of the power cost in a modern signal processing system. To realize a low-power design, how to reduce the memory access power is a critica...
Yu-Han Chen, Tung-Chien Chen, Chuan-Yung Tsai, Sun...
138
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ICPR
2006
IEEE
16 years 4 months ago
Multilinear Principal Component Analysis of Tensor Objects for Recognition
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
Anastasios N. Venetsanopoulos, Haiping Lu, Konstan...