The brief proposes a spike detection algorithm based on optimal template matching and morphological feature selection, which includes universal template matching, spike clustering, universal template ...

The proposed solution, Trajectory Flow Matching (TFM), introduces an alignment-focused approach to model patient data. The innovation behind such a framework is to truly capture continuous-time ...

We begin with an ensemble of conformations, templates from experiments, and molecular modeling, serving as structural hypotheses. We train a neural network approximating the Bayesian posterior using ...

documents reveal how Google Search is using, or has used, clicks, links, content, entities, Chrome data and more to rank content.

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents ...

This is an implementation of the global paths matching algorithm. The Global Paths Algorithm (GPA), was proposed by Maue and Sanders in "Engineering Algorithms for Approximate Weighted Matching" ...

Google, meanwhile, has been making Docs more like Notion with interactive checkboxes, custom templates, and easier linking between documents.

Therefore, this study proposes a data fusion method based on the improved simhash algorithm, which considers the short text characteristics of the address comprehensively. Through the fuzzy ...

We developed machine-learning algorithms to help connect scientists during online research conferences.