Sentence examples for classification searching from inspiring English sources

Exact(2)

The paper then considers placement rules for the consistent classification of design patents, the Locarno International Classification, searching for ornamental designs, and aids for such searching.

A main goal of the course is to instruct participants in index-term-based (classification) searching strategies (Motschall and Falck-Ytter 2005), and 3R-relevant terms.

Similar(58)

As a result of this limitation, classification searches on sequence data must be made using each input sequence's forward and reverse-complement effectively doubling the number of classification searches required.

A high accuracy and MCC from self-consistency method implies that SVM has inherited the intrinsic correlation between feature vectors and the classification searched for.

Simple and concise representations of protein-folding patterns provide powerful abstractions for visualizations, comparisons, classifications, searching and aligning structural data.

Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.

Currently tools are integrated for IPC classification search, faceted navigation, clustering of search results and machine translation of queries.

The present human recombinant insulin case study shows an assessment of keyword, sequence and classification search strategies for establishing biopharmaceutical drug-centric patent landscapes.

Image retrieval is an important task in computer vision, which is particularly useful in applications such as Internet image identification for image classification, search and annotation.

Independently of the final application of the specific algorithms (i.e., classification, search and retrieval, authentication, etc)., the most commonly adopted frameworks for the analysis of paintings are based on the extraction of global and local features.

In fact, depending on the resolution of the images under consideration, numerical data could be possibly exploited in both artwork analysis processes and in knowledge management-based tasks, e.g., for painting image classification, search, compression, etc.

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