Results 1 to 10 of about 5,366,983 (311)

Adaptive estimation of eigensubspace [PDF]

open access: yesIEEE Transactions on Signal Processing, 1995
In a recent work we recast the problem of estimating the minimum eigenvector (eigenvector corresponding to the minimum eigenvalue) of a symmetric positive definite matrix into a neural network framework. We now extend this work using an inflation technique to estimate all or some of the orthogonal eigenvectors of the given matrix.
Mathew, G   +2 more
openaire   +2 more sources

Adaptive quantizers for estimation [PDF]

open access: yesSignal Processing, 2013
In this paper, adaptive estimation based on noisy quantized observations is studied. A low complexity adaptive algorithm using a quantizer with adjustable input gain and offset is presented. Three possible scalar models for the parameter to be estimated are considered: constant, Wiener process and Wiener process with deterministic drift.
Rodrigo Cabral Farias   +1 more
openaire   +3 more sources

Backward adaptive pixel-based fast predictive motion estimation [PDF]

open access: yes, 2009
This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN   +2 more
core   +1 more source

Adaptive estimation of Shannon entropy [PDF]

open access: yes2015 IEEE International Symposium on Information Theory (ISIT), 2015
We consider estimating the Shannon entropy of a discrete distribution $P$ from $n$ i.i.d. samples. Recently, Jiao, Venkat, Han, and Weissman, and Wu and Yang constructed approximation theoretic estimators that achieve the minimax $L_2$ rates in estimating entropy.
Yanjun Han   +2 more
openaire   +2 more sources

On Adaptive Distance Estimation

open access: yesCoRR, 2020
We provide a static data structure for distance estimation which supports {\it adaptive} queries. Concretely, given a dataset $X = \{x_i\}_{i = 1}^n$ of $n$ points in $\mathbb{R}^d$ and $0 < p \leq 2$, we construct a randomized data structure with low memory consumption and query time which, when later given any query point $q \in \mathbb{R}^d ...
Yeshwanth Cherapanamjeri, Jelani Nelson
openaire   +3 more sources

An adaptive estimation of MAVE

open access: yesJournal of Multivariate Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Qin, Yao, Weixin
openaire   +3 more sources

Convergence of simple adaptive Galerkin schemes based on h − h/2 error estimators [PDF]

open access: yes, 2008
We discuss several adaptive mesh-refinement strategies based on (h − h/2)-error estimation. This class of adaptivemethods is particularly popular in practise since it is problem independent and requires virtually no implementational overhead.
Ortner, C.   +7 more
core   +1 more source

Adaptive Cardinality Estimation

open access: yesCoRR, 2017
In this paper we address cardinality estimation problem which is an important subproblem in query optimization. Query optimization is a part of every relational DBMS responsible for finding the best way of the execution for the given query. These ways are called plans.
Oleg Ivanov, Sergey Bartunov
openaire   +2 more sources

Function estimation with locally adaptive dynamic models [PDF]

open access: yes, 2001
We present a nonparametric Bayesian method for fitting unsmooth and highly oscillating functions, which is based on a locally adaptive hierarchical extension of standard dynamic or state space models.
Lang, S.   +2 more
core   +1 more source

Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques [PDF]

open access: yes, 2007
Motion estimation is the most time-consuming subsystem in a video codec. Thus, more efficient methods of motion estimation should be investigated. Real video sequences usually exhibit a wide-range of motion content as well as different degrees of detail,
González Díaz, Iván   +12 more
core   +1 more source

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