Results 31 to 40 of about 80,323 (233)
The k-mismatch problem revisited [PDF]
, 2015 We revisit the complexity of one of the most basic problems in pattern matching. In the k-mismatch problem we must compute the Hamming distance between a pattern of length m and every m-length substring of a text of length n, as long as that Hamming ...
Clifford, Raphaël +4 more
core +4 more sources
Improved Bounds for Online Preemptive Matching [PDF]
, 2012 When designing a preemptive online algorithm for the maximum matching problem, we wish to maintain a valid matching M while edges of the underlying graph are presented one after the other.
Epstein, Leah +3 more
core +4 more sources
Entropy, 2023 Multi-label streaming feature selection has received widespread attention in recent years because the dynamic acquisition of features is more in line with the needs of practical application scenarios.
Jinghua Liu +4 more
doaj +1 more source
Decentralized Adaptive Helper Selection in Multi-channel P2P Streaming Systems
, 2014 In Peer-to-Peer (P2P) multichannel live streaming, helper peers with surplus bandwidth resources act as micro-servers to compensate the server deficiencies in balancing the resources between different channel overlays.
Dehghan, Mehdi, Mostafavi, Seyedakbar
core +1 more source
Bayesian Penalized Method for Streaming Feature Selection
IEEE Access, 2019 The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
doaj +1 more source
SATE: Providing Stable and Agile Adaptation in HTTP-Based Video Streaming
IEEE Access, 2019 Online video streaming service, such as Youtube and Netflix, is emerging as a killer application that constitutes most IP traffic. Users want high-quality video streaming service; however, network bandwidth cannot keep up user's demand. In the HTTP-based
Wangyu Choi, Jongwon Yoon
doaj +1 more source
Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic Devices
Frontiers in Neuroscience, 2021 While promising for high-capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training.
Junyun Zhao +5 more
doaj +1 more source
A Comparison of Trajectory Compression Algorithms Over AIS Data
IEEE Access, 2021 Today’s industry is flooded with tracking data originating from vessels across the globe that transmit their position at frequent intervals. These voluminous and high-speed streams of data has led researchers to develop novel ways to compress them
Antonios Makris +3 more
doaj +1 more source
Online classifier adaptation for cost-sensitive learning
, 2015 In this paper, we propose the problem of online cost-sensitive clas- sifier adaptation and the first algorithm to solve it. We assume we have a base classifier for a cost-sensitive classification problem, but it is trained with respect to a cost setting ...
Garcia, Jose, Zhang, Junlin
core +1 more source
Advanced Engineering Materials, EarlyView.Cermets (60 vol.% AISI 316L stainless steel, 40 vol.% recycled MgO), intended for use in aluminum electrolysis, were pre‐oxidized in three furnaces with different heating technologies and subjected to a cryolite corrosion test. The different atmospheres influenced the formation of oxide layers, which in turn affected corrosion resistance and ...
Patricia Kaiser +4 more
wiley +1 more source