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» Margin based feature selection - theory and algorithms
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ICPR
2008
IEEE
14 years 2 months ago
A corner strength based Fingerprint segmentation algorithm with dynamic thresholding
Segmentation is one of the first and most integral pre-processing steps for any Fingerprint Recognition System. It is used to identify the region of interest within an image. Perf...
Asim Baig, Ahmed Bouridane, Fatih Kurugollu
PAMI
2006
206views more  PAMI 2006»
13 years 7 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
14 years 2 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura
ICTAI
2007
IEEE
14 years 2 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
INFOCOM
2009
IEEE
14 years 2 months ago
Isolating Physical PER for Smart Rate Selection in 802.11
—Current rate control (selection) algorithms in IEEE 802.11 are not based on accurate measurements of packet errors caused at the physical layer. Instead, algorithms act on measu...
Malik Ahmad Yar Khan, Darryl Veitch