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We first propose a new low-level visual feature, called spatio-temporal context distribution feature of interest points, to describe human actions. Each action video is expressed as a set of relative XYT coordinates between pairwise interest points in a local region. We learn a global Gaussian mixture model (GMM) (referred to as a universal background model) using the relative coordinate features...
Context-aware information retrieval received a significant attention last years. This paper addresses some of the challenges in context acquisition. It is focused on a method for inference of unavailable contextual information using machine learning. The method for context inference is based on observed behaviour of individual user and virtual communities of similar users. We work with contextual...
Speech dialogue systems, such as Apple's “Siri,” have gradually become more widespread, and in the near future, a greater number of general users will have the opportunity to communicate with such systems. To facilitate this, it is necessary for the system to communicate more naturally with users, and to realize that both verbal and nonverbal information must be taken into consideration. Therefore,...
We present a methodology to investigate the structure of dynamic networks in terms of concentration of changes in the network. We handle dynamic networks as series of graphs on a fixed set of nodes and consider the changes occurring between two consecutive graphs in the series. We apply our methodology to various dynamic contact networks coming from different contexts and we show that changes in these...
In this paper, an approach for semantic compositionbased on space projection operations over basic geometriclexical representations is proposed. Syntactic bi-grams arehere projected in the so called Support Subspace, aimed atemphasizing the semantic features shared by the compoundword. Empirical results are discussed over two tasks: a finegrainedsimilarity estimation task over syntactically typedword...
Artificial creatures need an intelligent behavior selection method to be used as an intermediate interface for natural interaction with users. For this purpose, the mechanisms of thought were proposed based on the probability and the degree of consideration. However, they were time-consuming when applying to an intelligent artificial creature with large numbers of wills, contexts and behaviors. Moreover,...
The security of railway and mass-transit systems is increasingly dependant on the effectiveness of integrated Security Management Systems (SMS), which are meant to detect threats and to provide operators with information required for alarm verification purposes. In order to lower the false alarm rate and improve the detection reliability of threat scenarios, event correlation capabilities need to...
In this paper, a method to adapt the fuzzy sets that models the ”coarseness” texture property according to different coarse-fine perceptions is proposed. The membership functions associated to these fuzzy sets are obtained on the basis of the human assessments given by a pool, that represent the average coarse-fine perception degree. In the proposed method, the user's particular perception about coarseness-fineness...
When designers begin to create new product, they need to explore on new shapes or elements that represent the consumer preferences which will account not only the tangible demands but also the subjective preferences. In this research, we give our attention to the design of female children's clothing in the context of urban wear from the age of one till six years old in Malaysia by the implementation...
This paper evaluates CONSPECT, a service that analyses states in a learner's conceptual development. It combines two technologies - Latent Semantic Analysis to analyse text and Network Analysis (NA) to provide visualisations - into a technique called Meaningful Interaction Analysis (MIA). CONSPECT was designed to help both online learners and their tutors monitor their conceptual development. This...
In Information Retrieval (IR), the similarity scores between a query and a set of documents are calculated, and the relevant documents are ranked based on their similarity scores. IR systems often consider queries as short documents containing only a few words in calculating document similarity score. In Computer Aided Assessment (CAA) of narrative answers, when model answers are available, the similarity...
This paper introduces a new metric for automatically evaluation summaries called ContextChain. Based on an in-depth analysis of the TAC 2008 update summarization results, we show that previous automatic metrics such as ROUGE-2 and BE cannot reliably predict strong performing systems. We introduce two new terms called Correlation Recall and Correlation Precision and discuss how they cast more light...
Recognition of human communication has previously focused on deliberately acted emotions or in structured or artificial social contexts. This makes the result hard to apply to realistic social situations. This paper describes the recording of spontaneous human communication in a specific and common social situation: conversation between two people. The clips are then annotated by multiple observers...
This paper regards Web as a semantic lexicon and alleviates the problem of bilingual lexical knowledge acquiring. Based on mix-language Web page counts, four Web bilingual relatedness (WBR) measurements are built. WBR measurements are evaluated by a modified Miller-Charles' dataset and it is found that the measurement based on point-wise mutual information achieves the best performance. Furthermore,...
Translation Memory (TM) consists of a collection of previously translated units of text that may prove useful in the translation of new text. The main problem faced by translators who wish to take advantage of TM is that, although search tools do exist, there is no standardized way of effectively ranking search results. This paper proposes a method for effectively ranking TM search results together...
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