We study the degree of fractality for the electromagnetic field diffracted from gratings and zone plates with internal Cantor structure. This fractality is determined by the correlation peaks which appear in the self-similarity function for the intensity distribution of the field. The results are complementary to the study of the homogeneity property, presented in a previous work [7]. Key-Words...

The evaluation of the electron density based similarity function scales quadratically with respect to the size of the molecules for simplified, atomic shell densities. Due to the exponential decay of the function's atom-atom terms most interatomic contributions are numerically negligible on large systems. An improved algorithm for the evaluation of the Quantum Molecular Similarity function is p...

We describe a similarity fusion based cover song identification scheme. The Harmonic Pitch Class Profile (HPCP) is chosen as the musical descriptor. First, the similarity between HPCP descriptors of two songs are obtained based on Qmax function and Dmax function, respectively. Then these two similarities are fused via Similarity Network Fusion (SNF) technique, which was originally proposed for ...

This paper outlines a measure of language similarity based on structural similarity of surface syntactic dependency trees. Unlike the more traditional string-based measures, this measure tries to reflect “deeper” correspondences among languages. The development of this measure has been inspired by the experience from MT of syntactically similar languages. This experience shows that the lexical ...

G-tree, combining the features of both grids and B-trees, is a disk-based spatial data structure for organizing multidimensional data. This paper presents an efficient access method for retrieving similar pictures from iconic databases using G-tree. The proposed method preserves the merits of G-tree, and hence indexing the pictures in the database, processing range queries for similarity retrie...

In  cite{GL}, B. Gerla and I. Leuc{s}tean introduced the notion of similarity on MV-algebra. A similarity MV-algebra is an MV-algebra endowed with a binary operation $S$ that verifies certain additional properties. Also, Chirtec{s} in cite{C}, study the notion of similarity on L ukasiewicz-Moisil algebras. In particular, strong similarity L ukasiewicz-Moisil algebras were defined. In this paper...

This paper addresses the problem of Near Duplicate document. Propose a new method to detect near duplicate document from a large collection of document set. This method is classified into three steps. Feature selection, similarity measures and discriminant function. Feature selection performs pre-processing; calculate the weight of each terms and heavily weighted term is selected as a features ...

We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over the standard bag-of-words method and is more discriminative than both L2-based soft assignment and Hamming embedding. Experimentally we show that the novel similarity function achieves mean average precision that is s...

When employing a similarity function to measure the similarity between two cases, one large problem is how to determine the feature weights. This paper presents a new method for learning feature weights in a similarity function from the given similarity information. The similarity information can be divided into two kinds: One is called qualitative similarity information which represents the si...