نتایج جستجو برای: over time

تعداد نتایج: 2688983  

2001
Robert Marti Reyer Zwiggelaar Caroline M. E. Rubin

A method to correspond linear structures in mammographic images is presented. Our approach is based on automatically establishing correspondence between linear structures which appear in images using robust features such as orientation, width and curvature extracted from those structures. The resulting correspondence is used to track linear structures and regions in mammographic images taken at...

Journal: :Annals OR 2002
Daniel Rothenstein Shmuel Zamir

1995
Riccardo Bettati Anisoara Nica

HIPPI provides a very-high-speed communication medium, which is very well suited for a large number of bandwidth-demanding distributed applications. Unfortunately, its circuit-switched nature makes it very diicult to provide real-time guarantees when connections contend for network resources. We present a time-division-multiplex access scheme designed to give timing guarantees to high-speed con...

2008
Mark G. Duckworth Jayme J. Caspall Rudolph L. Mappus IV Linghua Kong Dingrong Yi Stephen H. Sprigle

During investigations of potential child and elder abuse, clinicians and forensic practitioners are often asked to offer opinions about the age of a bruise. A commonality between existing methods of bruise aging is analysis of bruise color or estimation of chromophore concentration. Relative chromophore concentration is an underlying factor that determines bruise color. We investigate a method ...

2013
Hunny Mehrotra Mayank Vatsa Richa Singh Banshidhar Majhi

Iris as a biometric identifier is assumed to be stable over a period of time. However, some researchers have observed that for long time lapse, the genuine match score distribution shifts towards the impostor score distribution and the performance of iris recognition reduces. The main purpose of this study is to determine if the shift in genuine scores can be attributed to aging or not. The exp...

Journal: :Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism 2003
Thomas K Greenfield William C Kerr

Researchers are tracking long-term changes in alcohol consumption and related behaviors or outcomes in order to detect trends in the entire population or certain subgroups, test models of alcohol-related outcomes, and understand the consequences of interventions. Such analyses must consider the complexity of typical lifetime consumption patterns. Major approaches to measuring alcohol consumptio...

2017
Nickolas Gagnon Charles N. Noussair Peter Kuhn Marcello Negrini Ryan Oprea Philippe Tobler

We report the results from three distinct experiments, conducted in the Netherlands and in the United States, which extend the Gift Exchange paradigm (Fehr et al., 1993; Fehr et al., 1997) for the study of worker-employer relationships. We focus on the effect of long time delays between the time at which workers learn their wage and when they choose their effort level, on the relationship betwe...

2010
Neal Kiritkumar Lathia

Collaborative Filtering (CF) evaluation centres on accuracy: researchers validate improvements over state of the art algorithms by showing that they reduce the mean error on predicted ratings. However, this evaluation method fails to reflect the reality of deployed recommender systems, which operate algorithms that have to be iteratively updated as new users join the system and more ratings are...

2005
Lúıs Santos-Pinto Luís Santos-Pinto

This paper incorporates egocentric comparisons into a human capital accumulation model and studies the evolution of positive self image over time. The paper shows that the process of human capital accumulation together with egocentric comparisons imply that positive self image of a cohort is first increasing and then decreasing over time. Additionally, the paper finds that positive self image: ...

2008
Vincent Wenchen Zheng Evan Wei Xiang Qiang Yang Dou Shen

Learning-based localization methods typically consist of an offline phase to collect the wireless signal data to build a statistical model, and an online phase to apply the model on new data. Many of these methods treat the training data as if their distributions are fixed across time. However, due to complex environmental changes such as temperature changes and multi-path fading effect, the si...

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