Institution
Amazon.com
Company•Seattle, Washington, United States•
About: Amazon.com is a company organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Service (business) & Service provider. The organization has 13363 authors who have published 17317 publications receiving 266589 citations.
Papers published on a yearly basis
Papers
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01 Oct 2017
TL;DR: A hybrid multi-party computation protocol that combines Yao’s garbled circuits with tailored protocols for computing inner products is proposed, suitable for secure computation because it uses an efficient fixed-point representation of real numbers while maintaining accuracy and convergence rates comparable to what can be obtained with a classical solution using floating point numbers.
Abstract: We propose privacy-preserving protocols for computing linear regression models, in the setting where the training dataset is vertically distributed among several parties. Our main contribution is a hybrid multi-party computation protocol that combines Yao’s garbled circuits with tailored protocols for computing inner products. Like many machine learning tasks, building a linear regression model involves solving a system of linear equations. We conduct a comprehensive evaluation and comparison of different techniques for securely performing this task, including a new Conjugate Gradient Descent (CGD) algorithm. This algorithm is suitable for secure computation because it uses an efficient fixed-point representation of real numbers while maintaining accuracy and convergence rates comparable to what can be obtained with a classical solution using floating point numbers. Our technique improves on Nikolaenko et al.’s method for privacy-preserving ridge regression (S&P 2013), and can be used as a building block in other analyses. We implement a complete system and demonstrate that our approach is highly scalable, solving data analysis problems with one million records and one hundred features in less than one hour of total running time.
169 citations
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24 Sep 2010TL;DR: In this paper, a logically centralized system or service, such as a cloud-based content management service, enables intelligent communication between disparate devices, where the synchronization takes into account the capabilities of each device to provide versions and formats of that content that are appropriate for each device.
Abstract: A logically centralized system or service, such as a cloud-based content management service, enables intelligent communication between disparate devices. Such communication enables content such as applications and data to be synchronized between various devices, where the synchronization takes into account the capabilities of each device to provide versions and/or formats of that content that are appropriate for each device. A user purchasing an additional device, for example, can have various applications and other content automatically installed or copied over to the additional device, but with versions or formats that take advantage of, and are appropriate for, the capabilities of that additional device. Further, the intelligent communication via a logically centralized service can enable such devices to interact even though those devices might utilize different protocols and/or formats, and might otherwise not be able to communicate or have ever have been tested together.
168 citations
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TL;DR: Serial qPCR is useful for leishmania detection and species determination and for absolute quantification when compared to a standard curve from the same Leishmania species.
Abstract: The invention provides a method for determining the presence, species, and/or quantity of Leishmania in a sample.
167 citations
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TL;DR: In this paper, the authors demonstrate that a single squall line propagating across Amazonia in January, 2005, caused widespread forest tree mortality and may have contributed to the elevated mortality observed that year.
Abstract: [1] Climate change is expected to increase the intensity of extreme precipitation events in Amazonia that in turn might produce more forest blowdowns associated with convective storms. Yet quantitative tree mortality associated with convective storms has never been reported across Amazonia, representing an important additional source of carbon to the atmosphere. Here we demonstrate that a single squall line (aligned cluster of convective storm cells) propagating across Amazonia in January, 2005, caused widespread forest tree mortality and may have contributed to the elevated mortality observed that year. Forest plot data demonstrated that the same year represented the second highest mortality rate over a 15-year annual monitoring interval. Over the Manaus region, disturbed forest patches generated by the squall followed a power-law distribution (scaling exponent α = 1.48) and produced a mortality of 0.3–0.5 million trees, equivalent to 30% of the observed annual deforestation reported in 2005 over the same area. Basin-wide, potential tree mortality from this one event was estimated at 542 ± 121 million trees, equivalent to 23% of the mean annual biomass accumulation estimated for these forests. Our results highlight the vulnerability of Amazon trees to wind-driven mortality associated with convective storms. Storm intensity is expected to increase with a warming climate, which would result in additional tree mortality and carbon release to the atmosphere, with the potential to further warm the climate system.
166 citations
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18 Jun 2009TL;DR: In this article, a DNS server at a content delivery network service provider obtains a DNS query corresponding to a resource requested from a client computing device and associated with a first resource identifier.
Abstract: A system, method and computer-readable medium for request routing. A DNS server at a content delivery network service provider obtains a DNS query corresponding to a resource requested from a client computing device and associated with a first resource identifier. The first resource identifier includes a first portion with DNS information and a second portion with path information. The DNS server selects a network computing component for processing the requested resource based on the DNS portion of the resource identifier and transmits information identifying the selected network computing component to the client computing device.
166 citations
Authors
Showing all 13498 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jiawei Han | 168 | 1233 | 143427 |
Bernhard Schölkopf | 148 | 1092 | 149492 |
Christos Faloutsos | 127 | 789 | 77746 |
Alexander J. Smola | 122 | 434 | 110222 |
Rama Chellappa | 120 | 1031 | 62865 |
William F. Laurance | 118 | 470 | 56464 |
Andrew McCallum | 113 | 472 | 78240 |
Michael J. Black | 112 | 429 | 51810 |
David Heckerman | 109 | 483 | 62668 |
Larry S. Davis | 107 | 693 | 49714 |
Chris M. Wood | 102 | 795 | 43076 |
Pietro Perona | 102 | 414 | 94870 |
Guido W. Imbens | 97 | 352 | 64430 |
W. Bruce Croft | 97 | 426 | 39918 |
Chunhua Shen | 93 | 681 | 37468 |