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When an artisan performs the sanding and whiskering by hand, each jean is truly one-of-a-kind which is why we continue to use this handcrafted method.
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A traditional method using handcrafted features with a shallow classifier was taken as a benchmark and the attained recognition rate was only 58.22%.
Instead of representing the audio content using handcrafted audio features, as traditional methods do, we use deep structures to learn visual feature dependencies as they appear on the spectrogram domain (i.e. train a CNN using audio spectrograms as input images).
Rule-based methods resort to handcrafted patterns and rules to deal with the different types of morphological variants.
Unlike previous methods relying on various handcrafted features, we propose to learn discriminative blur features via deep convolutional neural networks (CNNs).
I use the term Craft Brewery to describe a small brewery using traditional methods and ingredients to produce a handcrafted, uncompromised beer that is marketed locally.
In contrast to feature-based methods in the previous section, direct methods directly use an input image without any abstraction using handcrafted feature detectors and descriptors.
The hybrid method uses a supervised machine-learning algorithm – Conditional Random Fields (CRF) – coupled with handcrafted rules to collect the triples from the FDA drug labels' narrative texts.
The major difference between deep learning and traditional pattern recognition methods is that deep learning automatically learns features from big data, instead of adopting handcrafted features [2].
The major difference between deep learning and conventional methods is that deep learning automatically learns features from big data, instead of adopting handcrafted features, which mainly depends on priori knowledge of designers and is highly impossible to take the advantage of big data.
Handcrafted jewelry by Jennifer Lippman.
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