… The fusion of modalities may be done at feature [14, 41, 58] or … the most popular kernel-based
techniques in machine learning … on computer vision and pattern recognition, pp 287–295 …

… The fusion of the two modalities was performed by … the data points to an infinite dimensional
Hilbert space and has proven very effective in Euclidean spaces for a variety of kernel-based …

… through the utilization of various medical modalities have … be achieved by wavelets using the
kernel-based operators, eg, … -level fusion, the results of fusion are obtained by modifying the …

… on using a new kernel-based method to enhance the shadow … [8], the authors first used the
optical flow technique to obtain … flow histograms to make fusion features of dynamic patches. …

… CNN models have achieved dramatic success in a wide range of pattern recognition and …
to the individual modality. (3) The use of kernel-based projection promotes superior results …

… So in this paper, we propose a dynamic kernel-based … , other modalities like audio features
are also fused with video features … content analysis, pattern recognition, and neural networks. …

… features from different types of modalities, such as visual (… in computer vision and pattern
recognition. The task of FAR is … discrimination than a single kernel based approach and can …

… While conventional pattern recognition algorithms can … To tackle these challenges, we
propose a kernel-based framework … The neutral point substitution method can help overcome the …

… Recently, multiple feature modalities fusion has become an active research area with the
belief … In: 7th international conference on advances in pattern recognition (ICAPR), pp 197–200 …

… in pattern recognition and machine learning community [2]. It is an integral component of
identity science, and biometric modalities such … In this modified method, we will admit an HMSB …