Protocol Buffers

Known as: Protobuf, GPB, Protobuffers 
Protocol Buffers is a method of serializing structured data.It is useful in developing programs to communicate with each other over a wire or for… (More)
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API testingAction Message FormatApache AvroApache Thrift
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Papers overview

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Highly Cited
2014
Highly Cited
2014
Crisp Boundary Detection Using Pointwise Mutual Information
Detecting boundaries between semantically meaningful objects in visual scenes is an important component of many vision algorithms… (More)
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2013
2013
Google protocol buffers research and application in online game
This pager put Google protocol buffers algorithm in online game's data transmission, aiming is to increase the efficiency of data… (More)
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2013
2013
ProtoML: A rule-based validation language for Google Protocol Buffers
We live in an information age where massive amounts of data are being transferred across multiple platforms. Cross-platform… (More)
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2011
2011
Using Protocol Buffers for Resource-Constrained Distributed Embedded Systems
Protocol Buffers are a widely used, robust and efficient data interchange format contributed and maintained by Google… (More)
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Highly Cited
2010
Highly Cited
2010
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the… (More)
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Highly Cited
2007
Highly Cited
2007
Sequence analysis Enhancements and modifications of primer design program Primer 3
Summary: The determination of annealing temperature is a critical step in PCR design. This parameter is typically derived from… (More)
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Highly Cited
2004
Highly Cited
2004
Liquidity Risk and Contagion ∗
This paper explores liquidity risk in a system of interconnected financial institutions when these institutions are subject to… (More)
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Highly Cited
2003
Highly Cited
2003
Factored Language Models and Generalized Parallel Backoff
We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of… (More)
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Highly Cited
2001
Highly Cited
2001
An improvement to the interacting multiple model (IMM) algorithm
Computing the optimal conditional mean state estimate for a jump Markov linear system requires exponential complexity, and hence… (More)
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Highly Cited
2000
Highly Cited
2000
Multiple-model estimation with variable structure. V. Likely-model set algorithm
Multiple-model (MM) estimation, as a powerful approach to adaptive estimation, has received a great deal of attention in recent… (More)
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