SPRE in abstracts

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SPRE in abstracts
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Abstract Using Simulators to Evaluate
Superscalar Processors
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SPRE and move analysis
Underline the signalling words.
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Informative abstract
Identify the SPRE steps in this abstract.
Fat-shattering and the Learnability of
Real-Valued Functions
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Descriptive abstract
Identify the SPRE steps in this abstract.
Utilizing venation features for efficient leaf
image retrieval
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Analysing moves and SPRE steps

• Analyse the moves (Background, Purpose, etc.)
  in this abstract.
• Analyse the SPRE steps in this abstract.
• Identify the signalling words.
• Utilizing venation feature for efficient leaf
  image retrieval
• Most Content-Based Image Retrieval systems use
  image features such as
• textures, colors, and shapes. However, in the
  case of a leaf image, it is not
• appropriate to rely on color or texture features
  only as such features are
• very similar in most leaves. In this paper, we
  propose a new and effective
• leaf image retrieval scheme. In this scheme, we
  first analyze leaf venation
• which we use for leaf categorization. We then
  extract and utilize
• leafshape features to find similar leaves from
  the already categorized
• group in a leaf database. The venation of a leaf
  corresponds to the blood
• vessels in organisms. Leaf venations are
  represented using points selected
• by a curvature scale scope corner detection
  method on the venation
• image. The selected points are then categorized
  by calculating the
• density of feature points using a non-parametric
  estimation density.
• venation which we use for leaf categorization. We
  show this technique's
• effectiveness by performing several experiments
  on a prototype system.

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Information Flocking Abstract
Identify the SPRE steps in this abstract.