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» On sparse signal representations
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ICIP
2009
IEEE
15 years 3 months ago
Incremental sparse saliency detection
By the guidance of attention, human visual system is able to locate objects of interest in complex scene. We propose a new visual saliency detection model for both image and video...
Yin Li, Yue Zhou, Lei Xu, Xiaochao Yang, Jie Yang
APLAS
2011
ACM
14 years 6 months ago
SPAS: Scalable Path-Sensitive Pointer Analysis on Full-Sparse SSA
We present a new SPAS (ScalablePAth-Sensitive)framework for resolving points-to sets in C programs that exploits recent advances in pointer analysis. SPAS enables intraprocedural p...
Yulei Sui, Sen Ye, Jingling Xue, Pen-Chung Yew
FIMH
2007
Springer
15 years 10 months ago
Constrained Reconstruction of Sparse Cardiac MR DTI Data
Magnetic resonance diffusion tensor imaging (DTI) has emerged as a convenient and reliable alternative to conventional histology for characterizing the fiber structure of the myoca...
Ganesh Adluru, Edward Hsu, Edward V. R. Di Bella
172
Voted
MICCAI
2010
Springer
15 years 4 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
JMLR
2012
13 years 8 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen