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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 ...
Tested against the best bipartite matching programs out there, the neuroscience-inspired algorithm performs very well. It creates near-optimal pairings and leaves fewer parties unmatched. In everyday ...
The documents reveal how Google Search is using, or has used, clicks, links, content, entities, Chrome data and more for ranking.
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 ...
Here we explain the mechanism by which Kilosort 1&2 find overlapping spikes. The method is often referred to as "template matching" or "matching pursuit", and it is similar between Kilosort 1 and 2.
Regula has increased the coverage of its ID document scanning, while Innovatrics says it can accurately extract data from one of the world’s more challenging identity credentials, and ID R&D has won ...
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 ...
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