Since the fusion problem is usually ill-posed, the Bayesian methodology offers a convenient way to regularize the problem by defining appropriate prior distribution for the scene of interest.The aim of this thesis is to study new multi-band image fusion algorithms to enhance the resolution of ...
4.2 Data fusion Data fusion usually refers to using the multi-channel or multi-sensor datasets at the same time to obtain more accurate analysis results [102,111]. The common theories of data fusion include the Bayesian theory, DS evidence theory, Kalman filter theory, etc. [112]. The Bayes...
The principle of this new approach is to build a speech model in the time鈥揻requency domain using the formalism of dynamic Bayesian networks. In contrast to classical multi-band modeling, this formalism leads to a probabilistic speech model which allows communications between the different sub-...
1a). A more balanced majority–minority ratio (e.g., 60:40) indicated that the hidden gallery contained a relatively even mixture of images, and thus the sample picture provided weak evidence of the hidden gallery’s identity. In contrast, a more biased ratio (e.g., 90:10) indicated ...
the fusion protein translocates to the nucleus, allowing chemiluminescent detection. Cells at a range of densities were resuspended in assay buffer into white-tissue culture-treated multi-well plates and increasing concentrations of control compounds were dispensed. The plate was incubated for 3 h at...
To solve the problems, this paper proposes a dual-band ship decision-level fusion classification method based on multi-layer features and naive Bayesian model. To avoid the occurrence of over-fitting caused by the small number of annotated samples, the proposed method is adopted. First of all,...
Bayesian multi-armed bandit framework for multi-band auction based dynamic spectrum access in multi-user decentralized networksdoi:10.23919/ursigass.2017.8105306Unnam AbhishekS. J. DarakURSI General Assembly and Scientific Symposium
Image fusion method is suitable for multispectral bands in Bayesian network based on Multiresolution analysis and classification in medical imaging. The Wavelet and Curvelet transform is to represent fused image containing a number of edges and the wavelet transform preserves list of detailed spectral ...
Bayesian reasoning is a method that utilizes the Bayesian theorem and assumes independence between features to make inferences based on data samples, allowing for the modeling of complex data and solving issues like overfitting in regression. AI generated definition based on: Computer Science Review, ...
combine the output of many estimation or predicting models in order to take advantage of the strengths and capabilities of each model61. As a result, the more similar a prognosis is to the relevant observation, the greater the models’ weights in the process of fusion of individual models62....