This paper presents a recommendation module which provides preferable photo contents to the user from among the huge amount of photo contents in UMPC database. To extract the preferable photo to user, we use a hybrid approach that is combined with context and content-base approach using data mining concept. Using two vectors concerned with the user profile and the photo metadata, we can calcula...

This paper proposes a novel regularization approach for Extreme Learning Machines. Regularization is performed using a priori spacial information expressed by an affinity matrix. We show that the use of this type of a priori information is similar to perform Tikhonov regularization. Furthermore, if a parameter free affinity matrix is used, like the cosine similarity matrix, regularization is pe...

For the purpose of opinion exploring in tweets, this article presents a sentiment classification of tweets content. First, we present a method to identify new sentiment similarity seed words. These seed words are used for predicting sentiment intensity of other words and short phrases in co-occurrence. Then, for testing sentiment similarity, we use: Similarity Measures methods between words and...

Abstract. In this paper, we propose three similarity measure methods for single valued neutrosophic refined sets and interval neutrosophic refined sets based on Jaccard, Dice and Cosine similarity measures of single valued neutrosophic sets and interval neutrosophic sets. Furthermore, we suggest two multi-criteria decision making method under single valued neutrosophic refined environment and i...

This paper reports the different realisations of the prosodic structure of Japanese telephone numbers in native and non-native Japanese speech. In Japanese, spoken telephone numbers have a structured prosody called bipodic template; and their accentuation is determined to occur every two digits. Pitch contours of the spoken telephone numbers were analysed and compared among speakers of Japanese...

The problem of the identification of three-dimensional crystal lattices is considered in the article. Two matching methods based on estimation of unit cell parameters were developed to solve this problem. The first method estimates and compares main parameters of Bravais unit cells. The second method estimates and compares volumes of Wigner-Seitz unit cells. Both methods include normalised simi...

The constants k1, k3 and b were set to 1.2, 1000 and 0.75 respectively, as recommended by the City University group [13]. Wd is the length of the document d in bytes and avr Wd is the average document length in the entire collection. N is the total number of documents in the collection, ft is the number of documents in which term t occurs, and fx;t is the frequency of term t in either a documen...

The similarity between trajectory patterns in clustering has played an important role in discovering movement behaviour of different groups of mobile objects. Several approaches have been proposed to measure the similarity between sequences in trajectory data. Most of these measures are based on Euclidean space or on spatial network and some of them have been concerned with temporal aspect or o...

The paper presents the correlation and correlation coefficient of single-valued neutrosophic sets (SVNSs) based on the extension of the correlation of intuitionistic fuzzy sets and demonstrates that the cosine similarity measure is a special case of the correlation coefficient in SVNS. Then a decision-making method is proposed by the use of the weighted correlation coefficient or the weighted c...

We present a matrix factorization model for learning cross-lingual representations for sentences. Using sentence-aligned corpora, the proposed model learns distributed representations by factoring the given data into language-dependent factors and one shared factor. As a result, input sentences from both languages can be mapped into fixed-length vectors and then compared directly using the cosi...