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» Efficient Algorithms for Minimizing Cross Validation Error
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ICCV
2005
IEEE
14 years 10 months ago
Quasiconvex Optimization for Robust Geometric Reconstruction
Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
Qifa Ke, Takeo Kanade
NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 8 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
IJRR
2010
115views more  IJRR 2010»
13 years 6 months ago
Improving the Efficiency of Clearing with Multi-agent Teams
We present an anytime algorithm for coordinating multiple autonomous searchers to find a potentially adversarial target on a graphical representation of a physical environment. Th...
Geoffrey Hollinger, Sanjiv Singh, Athanasios Kehag...
JMLR
2012
11 years 11 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
SIGMOD
2004
ACM
127views Database» more  SIGMOD 2004»
14 years 8 months ago
Efficient Query Reformulation in Peer-Data Management Systems
Peer data management systems (PDMS) offer a flexible architecture for decentralized data sharing. In a PDMS, every peer is associated with a schema that represents the peer's...
Igor Tatarinov, Alon Y. Halevy