Surface Smoothness and Statistical Method (5th Report)
نویسندگان
چکیده
منابع مشابه
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization
متن کاملRSG: Beating Subgradient Method without Smoothness and Strong Convexity
In this paper, we study the efficiency of a Restarted SubGradient (RSG) method that periodically restarts the standard subgradient method (SG). We show that, when applied to a broad class of convex optimization problems, RSG method can find an ǫ-optimal solution with a low complexity than SG method. In particular, we first show that RSG can reduce the dependence of SG’s iteration complexity on ...
متن کاملA Comparison of Different Methods of Paper Surface Smoothness Evaluation
Smoothness of paper surface is an important property from its printability. A number of techniques are available for characterizing the topographical features of the paper surface. These techniques have led to the development of smoothness testers of various types such as airleak testers, optical contact testers, surface profilers, and a number of ink and liquid application apparatus to assess ...
متن کاملBUREAU OF THE CENSUS STATISTICAL RESEARCH DIVISION Statistical Research Report Series No. RR96/01 Design of Moving-Average Trend Filters using Fidelity, Smoothness and Minimum Revisions Criteria
Many seasonal adjustment procedures decompose time series into trend, seasonal, irregular and other components using simple non-seasonal nite moving-average trend lters. This report considers the design of such lters, both in the body and at the ends of series, based on speci ed criteria and simple dynamic models operating locally within the span of the lter. In the body of the series a exible ...
متن کاملMultimodal surface matching with higher-order smoothness constraints
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitivity and spatial localisation of group studies, and cortical surface-based alignment has generally been accepted to be superior to volume-based approaches at aligning cortical areas. However, human subjects have considerable variation in cortical folding, and in the location of functional areas re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Japan Society of Precision Engineering
سال: 1954
ISSN: 0374-3543
DOI: 10.2493/jjspe1933.20.307