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The exploration of a data set consists in grouping similar data. The classical statistical methods often fail when there is is no minimal assumption on the clusters. Our approach is based on the links between data, but the pairwise comparison between data and the importance of the links depend heavily on context where data lies. We propose to analyze a dataset through methods of the social choice...
Registration of histopathology volumes to Magnetic Resonance Images(MRI) is a crucial step for finding correlations in Prostate Cancer (PCa) and assessing tumor agressivity. This paper proposes a two-stage framework aimed at registering both modalities. Firstly, Speeded-Up Robust Features (SURF) algorithm and a context-based search is used to automatically determine slice correspondences between MRI...
With the development of multimedia technology and the explosive growth of video data, content-based video copy detection has attracted considerable attentions in the multimedia and the computer vision community. However, most video copy detection methods only focus on the contents of key frames and ignore their temporal context information. In this paper, we proposed to express the temporal context...
The overall performance of the affine projection algorithm (APA) is highly influenced by two important parameters, i.e., the step-size and regularization terms. In this paper, we follow a joint-optimization problem on both these parameters, in the context of a state variable model, which fits very well for acoustic echo cancellation (AEC). Thus, the proposed optimized APA achieves a proper compromise...
This study examined the antecedents and consequences of intensity of SNS use in a cross-cultural context. A survey of 977 SNS users was performed in Korea and USA, and the causal relationship was tested using structural equation modelling. Consumer innovativeness, propensity to share information, and privacy concern affected intensity of SNS use and the usage of SNS enabled social capital. In addition,...
Prior research in neutrally-inspired perceptron predictors and Geometric History Length-based TAGE predictors has shown significant improvements in branch prediction accuracy by exploiting correlations in long branch histories. However, not all branches in the long branch history provide useful context. Biased branches resolve as either taken or not-taken virtually every time. Including them in the...
Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most...
Online dating is one domain, which would benefit from the application of computational trust. One of the problems with the application of traditional computational trust models, as identified in our previous work, is authenticity of information provided by parties which helps other users ascertain whether they want to go on dates. In this position paper, we suggest a solution: a concordance based...
Based on data retrieved from Unified Minority Speech Parameter Database Platform, this paper examines main acoustic parameters of Uigur vowels of two speakers (MA2 & FE2). We have found following facts regarding Uigur vowels: vowel acoustic space is closely related with duration, which is affected by syllabic position, number and type. For vowel in word-initial CV and V syllable, vowel duration...
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,...
Past research had demonstrated that congruence between store image and self-image is positively related to consumer behaviour such as patronage, store choice, store preference, and also store loyalty. With the concept of corporate social responsibility (CSR), specifically, the green environment having gained a legitimate place in retail strategy, the need to understand the function of this concept...
Two radically different approaches are currently available to identify the signaling pathways that are significantly impacted in a given condition: enrichment analysis and impact analysis. These approaches calculate a p-value that aims to quantify the significance of the involvement of the given pathway in the condition under study. These p-values were thought to be inversely proportional to the likelihood...
It is well known that Web users create links with different intentions. However, a key question, which is not well studied, is how to categorize the links and how to quantify the strength of the influence of a Web page on another if there is a link between the two linked Web pages. In this paper, we focus on the problem of link semantics analysis, and propose a novel supervised learning approach to...
Several similarity and distance measures have been developed for different purposes and applications in various research fields. For example, scholars have used them to evaluate similarities between tonalities, melodies and rhythms for music information retrieval. In this study, similarity functions are generated automatically. We focus on similarities between the so-called pitch-class sets that belong...
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