نتایج جستجو برای: localizing

تعداد نتایج: 6335  

Journal: :Journal of Indian Society of Pedodontics and Preventive Dentistry 2011

Journal: :Journal of the American Dietetic Association 2011

Journal: :Frontiers in political science 2021

The so-called “refugee crisis” in Lesvos, Greece provides a poignant example of situated, local suffering that has called for the coordination global resources to provide relief. Some first respond were and international Citizen Initiatives Global Solidarity (CIGS). While growing role CIGS been interpreted as call more involvement, arguments increased localization relief efforts suggest need ai...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2015
Xiaolong Gao Tzyh-Chang Hwang

Experimental and computational studies have painted a picture of the chloride permeation pathway in cystic fibrosis transmembrane conductance regulator (CFTR) as a short narrow tunnel flanked by wider inner and outer vestibules. Although these studies also identified a number of transmembrane segments (TMs) as pore-lining, the exact location of CFTR's gate(s) remains unknown. Here, using a chan...

Journal: :Methods in molecular biology 2009
Rafael F Pont-Lezica

The simple technique of making tissue prints on appropriate substrate material has made possible the easy localization of proteins, nucleic acids, carbohydrates, and small molecules in a tissue-specific mode. Plant tissues can be used to produce prints revealing a remarkable amount of anatomical detail, even without staining, which might be used to record developmental changes over time. In thi...

2008
Brian Fulkerson Andrea Vedaldi Stefano Soatto

We present an approach to determine the category and location of objects in images. It performs very fast categorization of each pixel in an image, a brute-force approach made feasible by three key developments: First, our method reduces the size of a large generic dictionary (on the order of ten thousand words) to the low hundreds while increasing classification performance compared to k-means...

2000
Gregory Z. Grudic Lyle H. Ungar

Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a new RL method, Boundary Localized Reinforcement Learning (BLRL), which maps RL into a mode switching problem where an agent deterministically chooses an action based on its state, and limits stochastic search to small ...

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