[PDF] Top 20 Dimension Independent Similarity Computation

... These applications have been around for many years, but the scale at which we need to solve them keeps steadily increasing. This is particularly true with the rise of the web, and social networks such as Twitter, ... See full document

... the similarity of each pair ...statement similarity calculation. Three independent statements similarity calculations are made like this, each time only consider one factor, compare the ... See full document

... Since the first two terms of the expansion we are interested in are independent of ǫ, one is allowed to evaluate the diagram at any value of ǫ. It is convenient to set ǫ = ∆/2 which results in the uniqueness of ... See full document

... of independent prices) rather than the conventionally assumed stationary fixed ...Hausdorff dimension of the attractor lies between one and two if n self-similar copies of the economy can be ...non ... See full document

... ABSTRACT: In a recent paper, Dominique (2009) argues that for a Walrasian economy with m consumers and n goods, the equilibrium set of prices becomes a fractal attractor due to continuous destructions and creations of ... See full document

... the computation and I/O intensive nature of the I AP SS solution raises two key research challenges: (1) to develop efficient I/O techniques to manage computation history and (2) to efficiently identify and ... See full document

... computer-assisted computation of similarity coefficients and the genesis of dendrograms, suggests that while Ct14 is more effective in grouping independent isolates, Ct3 is more effective in ... See full document

... b. In recent literature on databases, skyline query processing has received very signifi- cant attention [29–31]. Skyline queries find within a database the set of points that are not dominated by any other point. A ... See full document

... the similarity score is computed, otherwise the similarity score is considered as ...shape independent representation, where the dimension of both test and reference feature vectors are same; ... See full document

... the similarity method and dimension ...experiments, independent parameters can be replaced by similarity criterions by selecting a component as a unit and comparing other components with ...of ... See full document

... Soft computing methodologies, involving fuzzy sets, neural networks, genetic algorithms, rough sets, and their hybridizations, have recently been used to solve data mining problems. They strive to provide approximate ... See full document

... Computing infrastructures are expanding their reach in every dimension. New plat- forms and applications must interoperate with legacy systems. The Internet, where business relationships exhibit a high degree of ... See full document

... and dimension reduction is now an important step in developing computer-aided systems for fault detection and ...in dimension reduction of process dynamic trends: feature extraction from a trend of an ... See full document

... Abstract. The given functional self-similarity solution quantitatively describes angular, energy and A-dependences of inclusive production cross sections for hadrons in relativistic nuclear collisions. It is ... See full document

... takes into consideration the correlation between the terms. The reported improvements so far however have not exceeded 10-15% in standard collections) and sensitive to the choice of the semantic axis (reduced ... See full document

... The semantic network is not a metric space under seman- tic similarity (1) because the triangle inequality is not satisfied. Moreover, we expect that different words will have different neighborhood statistics. ... See full document

... of similarity computation stays unchanged: for one source word w for which we want to find the translation in target language, we compute the similarity between its context vector transferred ... See full document

... thin computation that computes solely the relevant similarities rather than the whole similarity ...thin computation methodology generates solely the relevant ...Sparse computation will be ... See full document

... Finally, a number of papers have looked at the choice of summary statistics (e.g. Wegmann et al., 2009; Blum, 2010; Prangle et al., 2014). Our Theorem 1 gives insight into this. As men- tioned above, this result shows ... See full document

... Ontology similarity calculation is important research topics in information retrieval and widely used in science and ...program computation, and the new algorithm is applied to ontology similarity ... See full document