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Figure 1 Query by example system overview.
This paper proposes a query by example system for generic audio.
To evaluate the performance of the above similarity measures, they were tested in the query by example system described in Section 2. The simulations were made using an audio database which contained 1332 samples.
Simulation experiments on a database consisting of wide range of sounds were conducted, and the distance measures between pdfs are shown to outperform the existing methods in audio retrieval task in Section 4. Figure 1 illustrates the block diagram of the query by example system.
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This chapter describes a programming-by-example system for the Web named Creo and a data detector named Miro.
It demonstrated the effect these knowledge bases can have on the research areas of the programming-by-example system and data detection.
We show that such a learning-by-example system is well-suited to power efficient neuron-based computation (60 W for all quarter of a million neurons), that it can learn quickly (a few tens of seconds), and that its learning generalizes well to novel situations.
Hertzmann says that similar learning-by-example systems might be developed to animate characters based on motion capture data.
In fact, we see that this happens in the particular setting of our evaluation by comparing results of the query-by-example systems with the performance obtained by a text-based spoken term detection system that is more comparable to the systems participating in the NIST STD 2006 evaluation.
We describe the workflow in detail by using an example system consisting of tRNA and hydrophilic nanodiamonds in a deuterated water (D2O) environment.
Screening of several working fluids revealed that using R601 (n-pentane) in place of the original working fluid (n-hexane) can increase the power output of the example system by an additional 14%.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com