Results 181 to 190 of about 165,668 (247)
Whole-exome sequencing identifies a CD38 variant in a Chinese family with hodgkin's lymphoma. [PDF]
Chen X +5 more
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Enhancing Point Cloud Registration for Pipe Fittings: A Coarse-to-Fine Approach with DANIP Keypoint Detection and ICP Optimization. [PDF]
Liu Z, Yue X.
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Stepwise isolation of diverse metabolic cell populations using sorting by interfacial tension (SIFT)
Matthew Shulman +9 more
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In silico functional, structural, and pathogenicity assessment of single nucleotide polymorphisms in the human SOX9 gene. [PDF]
Shadhin MST +10 more
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A Novel Multi-Source Image Registration of Porcine Body for Multi-Feature Detection. [PDF]
Zhong Z, Zhi S.
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Proceedings of the 2008 conference of the center for advanced studies on collaborative research meeting of minds - CASCON '08, 2008
Comparing program execution traces can be useful for numerous purposes, such as software testing, system security analysis, program comprehension, software evolution and other areas of software development. Unfortunately, trace comparison techniques that operate on execution traces containing full execution details are too slow for use in large-scale ...
A. V. Miranskyy +6 more
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Comparing program execution traces can be useful for numerous purposes, such as software testing, system security analysis, program comprehension, software evolution and other areas of software development. Unfortunately, trace comparison techniques that operate on execution traces containing full execution details are too slow for use in large-scale ...
A. V. Miranskyy +6 more
openaire +1 more source
Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 2019
Sift is a new consensus protocol for replicating state machines. It disaggregates CPU and memory consumption by creating a novel system architecture enabled by one-sided RDMA operations. We show that this system architecture allows us to develop a consensus protocol which centralizes the replication logic.
Mikhail Kazhamiaka +6 more
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Sift is a new consensus protocol for replicating state machines. It disaggregates CPU and memory consumption by creating a novel system architecture enabled by one-sided RDMA operations. We show that this system architecture allows us to develop a consensus protocol which centralizes the replication logic.
Mikhail Kazhamiaka +6 more
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Proceedings of the 8th ACM International Conference on Computing Frontiers, 2011
Dynamic Information Flow Tracking (DIFT) is a powerful technique that can protect unmodified binaries from a broad range of vulnerabilities such as buffer overflow and code injection attacks. Software DIFT implementations incur very high performance overhead, while comprehensive hardware implementations add substantial complexity to the ...
Meltem Ozsoy +3 more
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Dynamic Information Flow Tracking (DIFT) is a powerful technique that can protect unmodified binaries from a broad range of vulnerabilities such as buffer overflow and code injection attacks. Software DIFT implementations incur very high performance overhead, while comprehensive hardware implementations add substantial complexity to the ...
Meltem Ozsoy +3 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: matching a sparse set of scale invariant features, or dense matching using arbitrary scales.
Tal Hassner +3 more
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Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: matching a sparse set of scale invariant features, or dense matching using arbitrary scales.
Tal Hassner +3 more
openaire +2 more sources
AH-SIFT: Augmented Histogram based SIFT descriptor
2012 19th IEEE International Conference on Image Processing, 2012We propose Augmented Histogram (AH), a conceptually novel and systematic approach to enhancing the representational power of histogram-based local image descriptors such as SIFT. Our method takes a simple form that augments the histogram of local image patch features with a set of circular means and variances.
Hao Tang, Feng Tang
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