Prior Knowledge
Integration of prior knowledge into dense image matching for video surveillance
... plane knowledge can be derived for objects moving 2.3 Derivation of prior knowledge To extract moving objects we make use processing step and remove static backgrou sequences by subtracting an ...
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Discrete Logic Modelling Optimization to Contextualize Prior Knowledge Networks Using PRUNET.
... High-throughput technologies have led to the generation of an increasing amount of data in different areas of biology. Datasets capturing the cell’s response to its intra- and extra- cellular microenvironment allows such ...
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Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems
... any prior knowledge of hostile inter- cept receiver, a novel fuzzy chance-constrained program- ming (FCCP) based security information optimization scheme is presented to achieve enhanced LPID perform- ance ...
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Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data.
... been done on inferring novel causal interactions out of data [32– 34], the most popular method is integration of data with prior knowledge on interactions to extract most relevant networks highlighted by ...
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Frost Induces Respiration and Accelerates Carbon Depletion in Trees.
... Despite prior knowledge that trees may actively acclimate to cold and prepare for frost near 0°C [17,18], little is known about how temperature affects respiratory activity at or near freez- ing ...
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Cad. Saúde Pública vol.30 número4
... The traditional approach to statistical infer- ence is the frequentist (or classical) technique, where results are interpreted in terms of the fre- quency of occurrence of an event observed in a hypothetically large ...
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MATERIAL AND METHODS Jaguaribe River hydrographic basin characterization
... The 20 classes generated, based on prior knowledge of the study area and in comparison with high-resolution images from Google Earth platform 5.0 (Figure 3) were grouped i[r] ...
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Hist. cienc. saudeManguinhos vol.12 suppl.
... learning along predetermined pathways, but the learners themselves need to be given an opportunity to help reveal the nature and character of their own learning. Methodologically, this means that expectations that ...
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Improving students' meaningful learning on the predictive nature of quantum mechanics
... students’ prior knowledge about the subject was fundamental for defining the strategies chosen for the second moment, which was in 2005, keeping in mind the search for the answer to the problem formulated ...
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Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging
... of prior knowledge on the vas- cular flow and structural properties that have to compen- sate the sampling problem facing ...2018). Knowledge on the nature of the vessels may help by providing ...
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Integrated Features by Administering the Support Vector Machine (SVM) of Translational Initiations Sites in Alternative Polymorphic Contex
... set in fixed-length vector during the training process. Each example must have an associated binary label. The two different classes of data are termed positive and negative and the labels of the training examples are ...
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J. Aerosp. Technol. Manag. vol.4 número2
... requires prior knowledge of the masses and propulsion performance parameters of the Micro Air Launch Vehicle, whereas the vehicle design requires prior knowledge of the required velocity ¨V to ...
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Texto contexto enferm. vol.26 número2
... Thus, given this prior knowledge, and consid- ering the magnitude of anemia as a public health issue, the present study was developed aiming to identify possible inadequacies in treati[r] ...
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A Sample Size Calculation of Bayesian Design for Superiority Trials with Rare Events
... Finally, we apply our analysis to a case study: PHPT-5 clinical trial (NCT01511237) [6], phase III clinical trial to evaluate the efficacy of an antiretroviral (ARV) intensification strategy to reduce the risk of ...
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USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
... To sum up, the proposed method for selective objects detection based on trees of morphlets provides a robust search of objects even in case of minimal prior knowledge about their type and shape. The method ...
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APRENDIZADO DE CONTABILIDADE E A PERCEPÇÃO DO CONCEITO DE LUCRO: UM ESTUDO EXPLORATÓRIO
... The distance between the results found here and what was expected is explained by the Perception theory. First, it is important to bear in mind that individuals entering the university are not a blank slate; rather, ...
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Rev. Bras. Enferm. vol.70 número5
... In the category “Interpersonal relationship interfering with communication”, nurses cited relationship issues involving: inter- personal affinities, prior knowledge about the person the[r] ...
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Learning a prior on regulatory potential from eQTL data.
... The BY allele of OAF1 contains two non-conservative coding polymorphisms at conserved positions that are likely to alter its function: an R70W polymorphism in the DNA binding domain (the highest-scoring SNP) and a Q447P ...
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THE COMMUNICATIVE ACTION TO HABERMAS: THE NECESSARY ADOPTION OF THE THEORY BY THE UN SECURITY COUNCIL
... There is already a cultural deposit of the convictions of a community, and this prior knowledge provides the agents with a prior interpretation of the possible relations bet[r] ...
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Alfa, rev. linguíst. (São José Rio Preto) vol.60 número2
... of knowledge - prior knowledge about the world and linguistic knowledge (semantic) - for understanding causal ...world knowledge – and “technical” linguistic stimuli – unlinked to this ...
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