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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 6 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
ICASSP
2010
IEEE
15 years 6 months ago
Privacy and security of features extracted from minutiae aggregates
This paper describes our recent analysis on the security and privacy of biometric feature vectors obtained from fingerprint minutiae. A large number of contiguous regions (cuboid...
Abhishek Nagar, Shantanu Rane, Anthony Vetro
ILP
2007
Springer
16 years 15 days ago
Using ILP to Construct Features for Information Extraction from Semi-structured Text
Machine-generated documents containing semi-structured text are rapidly forming the bulk of data being stored in an organisation. Given a feature-based representation of such data,...
Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Bala...
CVPR
2010
IEEE
15 years 6 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
16 years 1 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga