نتایج جستجو برای: growing stock

تعداد نتایج: 290107  

2006
Shrinivas J. Pundlik Stanley T. Birchfield

We present an incremental approach to motion segmentation. Feature points are detected and tracked throughout an image sequence, and the features are grouped using a region-growing algorithm with an affine motion model. The primary parameter used by the algorithm is the amount of evidence that must accumulate before features are grouped. Contrasted with previous work, the algorithm allows for a...

2016
M. – G. Hong C. Kim

This study demonstrates the possibility of detecting the changes of growing stocks in mountainous forest stands derived from ALOS PALSAR and PALSAR-2 images. The ALOS PALSAR were obtained over the Kwangneung Experiment Forest (KEF, Korea) during the period of nineteen and a half months from the April 26, 2009 to December 12, 2010, whereas the PALSAR-2 data were acquired on the April 7, 2015. Th...

Journal: :Current Biology 2009
Marcelo A. Aizen Lawrence D. Harder

The prospect that a global pollination crisis currently threatens agricultural productivity has drawn intense recent interest among scientists, politicians, and the general public. To date, evidence for a global crisis has been drawn from regional or local declines in pollinators themselves or insufficient pollination for particular crops. In contrast, our analysis of Food and Agriculture Organ...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2016
Anne Maria Eikeset Erin S Dunlop Mikko Heino Geir Storvik Nils C Stenseth Ulf Dieckmann

The relative roles of density dependence and life history evolution in contributing to rapid fisheries-induced trait changes remain debated. In the 1930s, northeast Arctic cod (Gadus morhua), currently the world's largest cod stock, experienced a shift from a traditional spawning-ground fishery to an industrial trawl fishery with elevated exploitation in the stock's feeding grounds. Since then,...

2013
Mansur Masih

Recently there has been a heightened global concern over ‘contagion’ in the conventional financial markets. Our study is motivated by the desire to test empirically whether this contagion is reflected in the fast growing Islamic financial markets as well. This study is the first attempt at testing whether there has been any contagion among the Shari’ah-compliant stock markets during the most re...

2017
Jesse Bricker Geng Li

While a rapidly growing body of research underscores the influence of social capital on financial decisions and economic developments, objective data-based measurements of social capital are lacking. We introduce average credit scores as an indicator of a community’s social capital and present evidence that this measure is consistent with, but richer and more robust than, those used in the exis...

2010
FABIO MILANI

With the increased international financial integration in recent years, bilateral financial linkages between countries may have a growing influence on their real economies. This paper employs a structural two-country New Keynesian model, which incorporates a cross-border wealth channel, to estimate the effect that foreign stock market fluctuations may have on macroeconomic variables in open eco...

2016
Lei Pan Vinod Mishra

It is important to understand the interplay between stock market and real economy to figure out the various channels through which financial markets drive economic growth. In the current study we investigate this relationship for Chinese economy, the fastest growing and largest emerging economy in the world. Using the methodology of unit root testing in the presence of structural breaks and usi...

Journal: :Pattern Recognition Letters 2004
Kevin Robinson Paul F. Whelan

The downhill filter is an elegant and efficient single pass reconstruction algorithm which demonstrates fast and consistent performance. It operates through a controlled process of region growing by ordered aggregation of surface pixels onto an expanding shell. 2004 Elsevier B.V. All rights reserved.

1998
Maxime Lhuillier

We present a simple and efficient dense matching method based on region growing techniques, which can be applied to a wide range of globally textured images like many outdoor scenes. Our method can deal with non-rigid scenes and large camera motions. First a few highly distinctive features like points or areas are extracted and matched. These initial matches are then used in a correlation-based...

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