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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
180
Voted
ICDCS
2008
IEEE
16 years 26 days 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 6 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...
185
Voted
ICCAD
2000
IEEE
138views Hardware» more  ICCAD 2000»
15 years 10 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 4 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...