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» Robustness of the Learning with Errors Assumption
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IJCV
2006
206views more  IJCV 2006»
14 years 11 months ago
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
Nils Papenberg, Andrés Bruhn, Thomas Brox, ...
ICTIR
2009
Springer
15 years 6 months ago
Robust Word Similarity Estimation Using Perturbation Kernels
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Kevyn Collins-Thompson
STOC
2006
ACM
130views Algorithms» more  STOC 2006»
16 years 14 hour ago
Online trading algorithms and robust option pricing
In this work we show how to use efficient online trading algorithms to price the current value of financial instruments, such as an option. We derive both upper and lower bounds f...
Peter DeMarzo, Ilan Kremer, Yishay Mansour
STOC
1997
ACM
122views Algorithms» more  STOC 1997»
15 years 3 months ago
Fault-Tolerant Quantum Computation With Constant Error
Shor has showed how to perform fault tolerant quantum computation when the probability for an error in a qubit or a gate, η, decays with the size of the computation polylogarithmi...
Dorit Aharonov, Michael Ben-Or
NIPS
2001
15 years 1 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr