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» Unsupervised feature extraction using neuro-fuzzy approach
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ICCV
2005
IEEE
16 years 8 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 6 months ago
Feature Level Clustering of Large Biometric Database
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
ICMCS
2006
IEEE
106views Multimedia» more  ICMCS 2006»
16 years 14 days ago
A Behavioural Approach to Person Recognition
This paper describes a new approach for identity recognition using video sequences. While most image and video recognition systems discriminate identities using physical informati...
Federico Matta, Jean-Luc Dugelay
IJCNN
2006
IEEE
16 years 14 days ago
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors
Abstract— Using a neural network-fuzzy logic-genetic algorithm approach we generate an optimal predictor for biological activities of HIV-1 protease potential inhibitory compound...
Razvan Andonie, Levente Fabry-Asztalos, Sarah Abdu...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 6 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho