45 search results - page 2 / 9 » Functions with prescribed best linear approximations |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper presents a new background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate...
STOC
2012
ACM
11 years 7 months ago
2012
ACM
The Chow parameters of a Boolean function f : {−1, 1}n → {−1, 1} are its n + 1 degree-0 and degree-1 Fourier coefficients. It has been known since 1961 [Cho61, Tan61] that ...
ACL
2006
13 years 6 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
STOC
2007
ACM
14 years 5 months ago
2007
ACM
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...