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ICDM
2009
IEEE
202views Data Mining» more  ICDM 2009»
15 years 4 months ago
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations
Abstract--The data in many disciplines such as social networks, web analysis, etc. is link-based, and the link structure can be exploited for many different data mining tasks. In t...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
ICDCS
2008
IEEE
16 years 1 months ago
Utility-Based Opportunistic Routing in Multi-Hop Wireless Networks
—Recently, opportunistic routing (OR) has been widely used to compensate for the low packet delivery ratio of multi-hop wireless networks. Previous works either provide heuristic...
Jie Wu, Mingming Lu, Feng Li
CORR
2010
Springer
320views Education» more  CORR 2010»
15 years 7 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
195
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ICCAD
2000
IEEE
138views Hardware» more  ICCAD 2000»
15 years 11 months ago
Fast Analysis and Optimization of Power/Ground Networks
This paper presents an efficient method for optimizing power/ground (P/G) networks by widening wires and adding decoupling capacitors (decaps). It proposes a structured skeleton t...
Haihua Su, Kaushik Gala, Sachin S. Sapatnekar
MICCAI
2010
Springer
15 years 5 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...