This implementation declaration resembles the concept of valid input signal set declaration, but here concerning interfaces. The main idea of the new interface concept is to describe the features that an entity like a process type or a service type shall implement and to provide a concept to ...
Having estimated WordNet senses for the words and phrases, we need to assign semantic role labels to them. Typical SRL systems require large amounts of training data, which we do not possess for the movie domain. Therefore, we propose leveraging VerbNet (Kipper et al.2006; Schuler et al.2...
false: The application is not allowed to use plaintext traffic. Boolean Yes (initial value: false) securityConfig Network security configuration of the application. For details, see Table 10. Object Yes (initial value: left empty) Table 10 Internal structure of the securityConfig attribute Attribut...
Although the model is trained with a weakly supervised signal, it produces multiple diverse and meaningful captions with the sequence-to-sequence language model. A convolution-based lexical FCN forms the visual part of the model, whereas the language model follows the state-of-the-art S2VT (...
int::intType* uint::intType* floatFromInt::intType* floatFromUint::intType* assign(var | signalId, value, isUnsigned?)* switch(var)* case(value)* int* | uint* | floatFromInt* | floatFromUint* | assign* | switch* default? int* | uint* | floatFromInt* | floatFromUint* | assi...
As their text shows, despite the ‘or’ above, the authors thought of the two varieties as cutting across each other: a speaker positioned in a specific context of situation would in all likelihood speak with relevance to it; in other words, he would speak ‘in’ register. At the same ...
The notion of tableau structure is an abstract notion of interpretation. In other words, tableau structure is to the notion of interpretation as tableau is to the notion of model. The notion of tableau structure and isomorphism are inspired in the notions of interpretation (structure) and ...
Zhang4 proposed bag of visual words and multi-layer clustering analysis to resolve the semantic gap between objects to be recognised in remote sensing images. The retrieval performance of the algorithm was improved by combining a sparse automatic encoder with convolutional neural networks (CNNs), ...
The kernel codebook encoder (Philbin et al.2008) assigns each local feature to several visual words, weighted by a degree of membership:\([\eta _{\text {KC}}(\mathbf {f}_i)]_j \propto \exp \left( - \lambda \Vert \mathbf {f}_i-\mathbf {c}_j \Vert ^2 \right) \), where...
IDCVG 1 Index how to signal convergence: 1. check nr. of negative Hessian eigenvalues is correct and max. component and rms value of gradient are less than the convergence criterion (see CVG_GRD) 3. same as 1, but both max. component of step and change in energy should be less than ...