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Bottom-up proteomics

Known as: Bottom-up 
Bottom-up proteomics is a common method to identify proteins and characterize their amino acid sequences and post-translational modifications by… 
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Most existing bottom-up methods measure the foreground saliency of a pixel or region based on its contrast within a local context… 
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Highly Cited
2009
Highly Cited
2009
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling… 
Highly Cited
2009
Highly Cited
2009
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a… 
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Highly Cited
2000
Highly Cited
2000
We describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual… 
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Highly Cited
1994
Highly Cited
1994
Reading Genetic Programming IE Automatic Discovery ofReusable Programs (GPII) in its entirety is not a task for the weak-willed… 
Highly Cited
1993
Highly Cited
1993
MAGNETIC materials of mesoscopic dimensions (a few to many thousands of atoms) may exhibit novel and useful properties such as… 
Highly Cited
1991
Highly Cited
1991
Part 1 An empirical approach to language teaching methodology: defining "methodology" research into language processing and… 
Highly Cited
1987
Highly Cited
1987
  • D. Lowe
  • Artif. Intell.
  • 1987
  • Corpus ID: 678619
Abstract A computer vision system has been implemented that can recognize three-dimensional objects from unknown viewpoints in… 
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Highly Cited
1987
Highly Cited
1987
Functional ond mechanistic comparisons are mode between several network models of cognitive processing: competitive learning… 
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Highly Cited
1983
Highly Cited
1983
A parsing algorithm which seems to be the most efficient general context-free algorithm known is described. It is similar to both… 
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