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ML
2010
ACM
185views Machine Learning» more  ML 2010»
15 years 29 days ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
ACSAC
2009
IEEE
16 years 1 months ago
Protecting Kernel Code and Data with a Virtualization-Aware Collaborative Operating System
Abstract—The traditional virtual machine usage model advocates placing security mechanisms in a trusted VM layer and letting the untrusted guest OS run unaware of the presence of...
Daniela Alvim Seabra de Oliveira, Shyhtsun Felix W...
ICANN
2005
Springer
15 years 11 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
HAIS
2010
Springer
15 years 8 months ago
Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, t...
Oliver Kramer, Benjamin Satzger, Jörg Lä...