GNOME-DB

Known as: GDA, GNU Data Access 
GNOME-DB is a database application by the GNOME community. The project aims to provide a free unified data access architecture to the GNOME project… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1994-2018
0102019942018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
The paper presents a novel method for the extraction of facial features based on the Gabor-wavelet representation of face images… (More)
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2007
2007
Electromyographic (EMG) signals recognition is a complex pattern recognition problem due to its property of large variations in… (More)
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Highly Cited
2006
Highly Cited
2006
We are at the beginning of the multicore era. Computers will have increasingly many cores (processors), but there is still no… (More)
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Highly Cited
2006
Highly Cited
2006
  • Chengjun Liu
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2006
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular… (More)
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2006
2006
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and… (More)
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Highly Cited
2005
Highly Cited
2005
We present a novel method of nonlinear discriminant analysis involving a set of locally linear transformations called "Locally… (More)
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2005
2005
In this paper, we present and compare different fusion rules which can be used for generalized data association (GDA) for… (More)
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2004
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely… (More)
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Highly Cited
2003
Highly Cited
2003
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount… (More)
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Highly Cited
2000
Highly Cited
2000
We present a new method that we call generalized discriminant analysis (GDA) to deal with nonlinear discriminant analysis using… (More)
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