منابع مشابه
On Adaptive Function Estimation
General results on adaptive function estimation are obtained with respect to a collection of estimation strategies for both density estimation and nonparametric regression under square L 2 loss. It is shown that without knowing which strategy in a given countable collection works best for the underlying function, a single strategy can be constructed by mixing the proposed ones so that it is ada...
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In this paper a new method for determining the search area for motion estimation algorithm based on block matching is suggested. In the proposed method the search area is adaptively found for each block of a frame. This search area is similar to that of the full search (FS) algorithm but smaller for most blocks of a frame. Therefore, the proposed algorithm is analogous to FS in terms of reg...
متن کاملSome Background on Adaptive Estimation
that produce the \best ̄t" to the data. Here, n denotes the noise or ̄tting error. By the term \best ̄t," we mean the minimization of the ̄tting error in some sense. For example, typical norm or norm-like functionals used as arguments in the above minimization problem are: 2 knk1 = ess. supt jn(t)j; the L1 norm. 2 knk2 = ¡R1 0 jn(t)j2 dt¢1=2; the L2 norm (energy). 2 knk2;± = ¡R1 0 e2±tjn(t)j2 dt¢1=...
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In this paper, theoretical and practical aspects of the sample-point adaptive positive kernel density estimator are examined. A closed-form expression for the mean integrated squared error is obtained through the device of preprocessing the data by binning. With this expression, the exact behavior of the optimally adaptive smoothing parameter function is studied for the rst time. The approach d...
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In this paper new online adaptive hidden Markov model (HMM) state estimation schemes are developed, based on extended least squares (ELS) concepts and recursive prediction error (RPE) methods. The best of the new schemes exploit the idempotent nature of Markov chains and work with a least squares prediction error index, using a posterior estimates, more suited to Markov models then traditionall...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 1982
ISSN: 0090-5364
DOI: 10.1214/aos/1176345863