This article presents a definitional structure for the notion of ‘proxy war’ organised around three components: (1) material-constitutive feature, (2) processual feature and (3) relational feature. First, evaluates multiple usages term in light its contested character. Second, it proposes way making sense literature’s conceptual turmoil by analysing different attempts at defining notion. To thi...

The sequence data maintained in public databases are available in heterogeneous formats like FASTA, XML, and ASN1. The XML representation of data is heterogeneous in nature with different DTD in various databases. The difference lies in the representation of sequence description as XML tags. The protein and genomic data in XML format in Genbank has more than 3500 tags to represent the functiona...

Faculty of Science Graduate Schools of Science Master of Science in Artificial Intelligence Recognizing Semantic Features in Faces using Deep Learning by Amogh Gudi The human face constantly conveys information, both consciously and subconsciously. However, as basic as it is for humans to visually interpret this information, it is quite a big challenge for machines. Conventional semantic facial...

We propose a new approach to cluster the web pages. Utilizing an iterative reinforced algorithm, the model extracts semantic feature vectors from user click-through data. We then use LSA (Latent Semantic Analysis) to reduce the feature dimension and K-means algorithm to cluster documents. Compared to the traditional way of feature extraction (lexical binomial model), our new model has better pu...

In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can ...

Japanese has many noun phrase patterns of the type A no B consisting of two nouns A and B with an adnominal particle no. As the semantic relations between the two nouns in the noun phrase are not made explicit, the interpretation of the phrases depends mainly on the semantic characteristics of the nouns. This paper describes the semantic diversity of A no B and a method of semantic analysis for...

Given the promising results obtained by deep-learning techniques in multimedia analysis, explainability of predictions made networks has become important practical applications. We present a method to generate semantic and quantitative explanations that are easily interpretable humans. The previous work obtain such focused on contributions each feature, taking their sum be prediction result for...

In recent years, powered by the learned discriminative representation via graph neural network (GNN) models, deep matching methods have made great progresses in task of semantic features. However, these usually rely on heuristically generated patterns, which may introduce unreliable relationships to hurt performance. this paper, we propose a joint learning and network, named GLAM, explore relia...