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Table 1 summarizes the key findings of fMRI studies in AD and MCI patients during episodic memory encoding and retrieval based on published meta-analysis and evidence-based reviews [ 21- 23].
Text-based IR researchers have shown that retrieval based on combination of multiple query representations, multiple representations of text documents or multiple IR techniques provide significantly improved results compared with single representation-based technique, especially when there are multiple retrieval requirements across users.
Fig. 3 Proposed framework for image retrieval based on individual image representations.
To this aim, a framework for artwork retrieval based on semantic search is presented in [16].
In this paper, the architecture of personalized information retrieval based on user interest is presented.
In the paper entitled "Face retrieval based on robust local features and statistical-structural learning approach," I. Defee and D. Zhong propose a framework for the unification of statistical and structural information for pattern retrieval based on local feature sets.
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Statistical retrievals based on NNs, for example for obtaining tropospheric ozone [9], are common nowadays.
A significant advantage of atmospheric retrievals based on neural networks is that Jacobians can be calculated analytically, and the calculations can be carried out using relatively simple methods, such as the backpropagation algorithm.
The advantages of retrievals based on neural networks include speed of execution, simplicity of the trained algorithm, and ease of error analysis, and the proliferation of high quality training data sets derived from models and/or operational measurements has further facilitated their use.
Recent research in information retrieval has proved that retrieval models based on Bayesian inference networks give significant improvements in retrieval performance compare to conventional models [3][4].
Additionally, retrieval is based on statistical searching techniques or content-based information extraction methods.
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