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» Robust Feature Selection Algorithms
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 1 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
IJCNN
2007
IEEE
16 years 24 days ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
TIFS
2008
102views more  TIFS 2008»
15 years 6 months ago
Insertion, Deletion Codes With Feature-Based Embedding: A New Paradigm for Watermark Synchronization With Applications to Speech
A framework is proposed for synchronization in feature-based data embedding systems that is tolerant of errors in estimated features. The method combines feature-based embedding wi...
David J. Coumou, Gaurav Sharma
204
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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 7 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
ECCV
2008
Springer
16 years 8 months ago
Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
Kevin Köser, Reinhard Koch