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PR
2007
104views more  PR 2007»
15 years 6 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
202
Voted
TIT
2008
187views more  TIT 2008»
15 years 6 months ago
The Bare Bounded-Storage Model: The Tight Bound on the Storage Requirement for Key Agreement
Abstract--In the bounded-storage model (BSM) for information-theoretic secure encryption and key agreement, one makes use of a random string R whose length t is greater than the as...
Stefan Dziembowski, Ueli M. Maurer
CVPR
2009
IEEE
17 years 1 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
DMSN
2010
ACM
15 years 5 months ago
Facilitating fine grained data provenance using temporal data model
E-science applications use fine grained data provenance to maintain the reproducibility of scientific results, i.e., for each processed data tuple, the source data used to proce...
Mohammad Rezwanul Huq, Andreas Wombacher, Peter M....
FS
2010
140views more  FS 2010»
15 years 5 months ago
Nonparametric estimation for a stochastic volatility model
Abstract Consider discrete time observations (X δ)1≤ ≤n+1 of the process X satisfying dXt = √ VtdBt, with Vt a one-dimensional positive diffusion process independent of the...
F. Comte, V. Genon-Catalot, Yves Rozenholc