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A feature fusion method for feature extraction
SPIE Proceedings, 2012The automatic target recognition based on image fusion refers to the fusion process using the target images provided by a variety of sensors, so as to improve the recognition accuracy and robustness and to obtain better recognition performance.
Dejun Tang +3 more
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A feature fusion framework for hashing
2016 23rd International Conference on Pattern Recognition (ICPR), 2016A hash algorithm converts data into compact strings. In the multimedia domain, effective hashing is the key to large-scale similarity search in high-dimensional feature space. A limit of existing hashing techniques is that they typically use single features. In order to improve search performance, it is necessary to utilize multiple features.
I-Hong Jhuo +3 more
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2001
In this paper we present a new architecture for combining classifiers. This approach integrates learning into the voting scheme used to aggregate individual classifiers decisions. This overcomes the drawbacks of having static voting techniques. The focus of this work is to make the decision fusion a more adaptive process.
Nayer M. Wanas, Mohamed S. Kamel
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In this paper we present a new architecture for combining classifiers. This approach integrates learning into the voting scheme used to aggregate individual classifiers decisions. This overcomes the drawbacks of having static voting techniques. The focus of this work is to make the decision fusion a more adaptive process.
Nayer M. Wanas, Mohamed S. Kamel
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Feature++: Cross dimension feature fusion for road detection
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017Road detection is a key component of Advanced Driving Assistance Systems, which provides valid space and candidate regions of objects for vehicles. Mainstream road detection methods have focused on extracting discriminative features. In this paper, we propose a robust feature fusion framework, called “Feature++”, which is combined with superpixel ...
Wenli He +3 more
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A method towards biometric feature fusion
International Journal of Biometrics, 2009For multimodal biometric person recognition, information fusion can be classified into several levels: rank, decision, sensor, feature and match-score levels. In this paper, a novel method is proposed to fuse information from two or more biometric sources at feature fusion level.
Lin Huang 0001 +2 more
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2015
Researcher introduced biometric system to improve the security because nowadays, the world is becoming more insecure. The term Biometrics is derived from the Greek composite words bio and metric. Bio means life and metric means to measure. Biometrics basically is a measure and analysis of human physiological and behavioral characteristics to identify ...
Koteswara Rao Anne +2 more
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Researcher introduced biometric system to improve the security because nowadays, the world is becoming more insecure. The term Biometrics is derived from the Greek composite words bio and metric. Bio means life and metric means to measure. Biometrics basically is a measure and analysis of human physiological and behavioral characteristics to identify ...
Koteswara Rao Anne +2 more
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Multiple feature fusion for face recognition
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013Recent studies show face recognition (FR) with additional features achieves better performance than that with single one. Different features can represent different characteristics of human faces, and utilizing different features effectively will have positive effect on FR.
Shu Kong +3 more
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Multiscale Feature Fusion for Face Identification
2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 2017Over the past 20 years, information fusion has seen rapid development and has been used in many applications, including pattern recognition and computer vision. Multi-modal biometrics is one form of information fusion where biometric information from different modes of input (e.g., finger print, iris image, face image) is fused in order to achieve ...
Xin Wei 0002 +3 more
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Intact and deficient feature fusion in schizophrenia
European Archives of Psychiatry and Clinical Neuroscience, 2005In patients with schizophrenia, early as well as late stages of information processing can be deficient. Therefore, it is important to determine the earliest occurrences of aberrant processing since deficits on these stages may cause abnormal processing on later, e. g. cognitive, levels.
Andreas, Brand +4 more
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