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» Modeling When Connections Are the Problem
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JMLR
2012
13 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
222
Voted
ASIACRYPT
2010
Springer
15 years 5 months ago
Lattice-Based Blind Signatures
Blind signatures (BS), introduced by Chaum, have become a cornerstone in privacy-oriented cryptography. Using hard lattice problems, such as the shortest vector problem, as the bas...
Markus Rückert
IPPS
2006
IEEE
16 years 1 months ago
Battery-aware router scheduling in wireless mesh networks
Wireless mesh networks recently emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in mesh ...
Chi Ma, Zhenghao Zhang, Yuanyuan Yang
PODS
1994
ACM
138views Database» more  PODS 1994»
15 years 11 months ago
Dyn-FO: A Parallel, Dynamic Complexity Class
Traditionally, computational complexity has considered only static problems. Classical Complexity Classes such as NC, P, and NP are de ned in terms of the complexity of checking {...
Sushant Patnaik, Neil Immerman
DCOSS
2008
Springer
15 years 9 months ago
On the Deterministic Tracking of Moving Objects with a Binary Sensor Network
This paper studies the problem of associating deterministically a track revealed by a binary sensor network with the trajectory of a unique moving anonymous object, namely the Mult...
Yann Busnel, Leonardo Querzoni, Roberto Baldoni, M...