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Multimodal learning has been mostly studied by assuming that multiple label assignments are independent of each other and all the modalities are available. In this paper, we consider a more general problem where the labels contain dependency relationships and some modalities are likely to be missing. To this end, we propose a multi-label conditional restricted Boltzmann machine (ML-CRBM), which handles...
Singing voice offers rich information such as human emotions and moods, it is considered to be a particular musical instrument. Nowadays, there are many situations where the singing voice needs to be evaluated, such as teaching, singing competition, and so on. But not everyone has a professional teacher, a singing evaluation system will be very helpful for ordinary people to learn singing in a proper...
Basing on the sample of typhoon from 2001 to 2010 for 10 years in the Northwest Pacific (NP), setting up the genetic-neural network prediction (GNNP) model which input predictors is using the methods of multidimensional scaling analysis (MDS) and Stepwise regression basing the predictors of climatology persistance to predict the typhoon intensity for 12, 24, 36, 48, 60 and 72 hour. The experimental...
In this paper, we propose a new region-based saliency model to simulate the human visual attention. First, we construct a pixel-level fully-connected graph representation for an image, and perform normalized cut to segment the image based on the proximity and similarity principles. After obtaining image regions, we reconstruct a region-based fully-connected graph. Based on the saliency principle “center-surround...
Base bleed propellant is an important component of the increasing rang projectile using base bleed technology. Unsteady strongly combustion leads to extinguish, reignition or critical state which produce an effect on rang dispersion. The burning behavior is determined by the initial pressure of combustion chamber and the maximum pressure decay rate, which was investigated by simulation experimental...
A nonlinear prediction model has been presented of PSO-ANN of monthly precipitation in rain season. It differs from traditional prediction modeling in the following aspects: (1) input factors of the PSO-ANN model of monthly precipitation were selected from a large quantity of preceding period high correlation factors, and they were also highly information-condensed by using the empirical orthogonal...
Following the thinking clue of the ensemble prediction in numerical weather prediction (NWP), a novel nonlinear artificial intelligence ensemble prediction (NAIEP) model for calculation wind speed of Mountain Darong in Guangxi has been developed based on the multiple neural networks with identical expected output created by using the genetic algorithm (GA) of evolutionary computation. The results...
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