In recent work [1], a simplified and highly effective approach to speaker recognition based on the cosine similarity between lowdimensional vectors, termed ivectors, defined in a total variability space was introduced. The total variability space representation is motivated by the popular Joint Factor Analysis (JFA) approach, but does not require the complication of estimating separate speaker ...

Using a large unique patent-strategic alliance dataset over the period 1990 to 2004, we first show that firms faced with greater technological competition are more likely to form alliances. Technological competition is captured by a cosine similarity measure between a firm’s own patent output and the patent output of all other firms in the economy. We further show that alliances lead to more pa...

Due to rapid development of the Internet, recent years have witnessed an explosion in the rate of data generation. Dealing with data at current scales brings up unprecedented challenges. From the algorithmic view point, executing existing linear algorithms in information retrieval and machine learning on such tremendous amounts of data incur intolerable computational and storage costs. To addre...

Unlike the phasor measurement-based protection in ac systems, of dc systems deals with complex fault transients which mandate isolation faulted segment within few milliseconds as continued current leads to overheating issue power electronic converters. To this end, several works have been suggested-based on unit and nonunit protections for microgrids. Threshold selection coordination are challe...

In the fuzzy set theory, information  measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...

Here we describe our algorithm for detecting external plagiarism in PAN-10 competition. The algorithm has two steps 1. Identification of similar documents and the plagiarized section for a suspicious document with the source documents using Vector Space Model (VSM) and cosine similarity measure and 2. Identify the plagiarized area in the suspicious document using Chunk ratio.

Nearest-neighbor collaborative filtering (CF) algorithms are gaining widespread acceptance in recommender systems and e-commerce applications. These algorithms provide recommendations for products, based on suggestions of users with similar preferences. One of the most crucial factors in the effectiveness of nearest-neighbor CF algorithms is the similarity measure that is used. The most popular...

Abstract Focused Crawler aims to select relevant web pages from internet. These pages are relevant to some predefined topics. Previous focused crawlers have a problem of not keeping track of user interest and goals .The topic weight table is calculated only once statically and that is less sensitive to potential changes in environment. To address this problem we design a focused crawler based o...