Latest News on Linear Problem April-21

Posted on April 17, 2021Categories Computer ScienceTags   Leave a comment on Latest News on Linear Problem April-21

[1] Linear Problem Kernels for NP-Hard Problems on Planar Graphs We develop a generic framework for deriving linear-size problem kernels for NP-hard problems on planar graphs. We demonstrate the usefulness of our framework in several concrete case studies, giving new kernelization results for Connected Vertex Cover, Minimum Edge Dominating Set, Maximum Triangle Packing, and Efficient Dominating Set on planar graphs. On the route to these results, we present effective, problem-specific data reduction rules that are useful in any approach attacking … Continue reading “Latest News on Linear Problem April-21”

Latest Research News on Markov Model: Oct – 2019

Posted on October 11, 2019Categories Mathematics and Computer ScienceTags , ,   Leave a comment on Latest Research News on Markov Model: Oct – 2019

Hidden Markov model decomposition of speech and noise The problem of automatic speech recognition within the presence of meddling signals and noise with applied mathematics characteristics starting from stationary to quick dynamical and impulsive is mentioned. a way of signal decomposition victimisation hidden Andrei Markov models is delineated . this is often a generalization of typical hidden Andrei Markov modeling that has associate optimum technique of rotten synchronic processes. The technique exploits the flexibility of hidden Andrei Markov models to … Continue reading “Latest Research News on Markov Model: Oct – 2019”