The ease of Android applications repackaging and proliferation of application clones in Google Play and other markets call for new effective techniques to detect repackaged code and combat distribution of cloned applications. Today all existing techniques for repackaging detection are based on code similarity or feature (e.g., permission set) similarity evaluation. We propose a new approach to ...

This article reviews the problem of degree of closeness and interaction level in a social network by ranking users based on similarity score. This similarity is measured on the basis of social, geographic, educational, professional, shared interests, pages liked, mutual interested groups or communities and mutual friends. The technique addresses the problem of matching user profiles in its glob...

Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...

Sentence Similarity is the process of computing a similarity score between two sentences. Previous sentence similarity work finds that latent semantics approaches to the problem do not perform well due to insufficient information in single sentences. In this paper, we show that by carefully handling words that are not in the sentences (missing words), we can train a reliable latent variable mod...

Semantic similarity measures have been used successfully and extensively in the biomedical research with various applications. As the biomedical ontologies, which form the main ground for most of the similarity measures, are growing and progressing towards more completeness and higher accuracy, the results and outcomes of these semantic similarity measures become more acceptable and more reliab...

Background: Phenotype similarity calculation should be used to help improve drug repurposing. In this study, based on the MeSH terms describing phenotypes deposited in OMIM, we proposed a method, namely, PheSom (Phenotype Similarity On MeSH), measure between phenotypes. counted number of overlapping two and then took weight every term within each phenotype into account according frequency-inver...

Latent semantic representations of words or paragraphs, namely the embeddings, have been widely applied to information retrieval (IR). One of the common approaches of utilizing embeddings for IR is to estimate the document-to-query (D2Q) similarity in their embeddings. As words with similar syntactic usage are usually very close to each other in the embeddings space, although they are not seman...

The expanding protein sequence and structure databases await methods allowing rapid similarity search. A novel framework for structural similarity search in proteins is developed. It can not only distinguish the local similarity case, but also can detect the overall similarity in some sense. First, geometrical distance of Cα-Cα is used in evaluating structural similarity in proteins. Then a sim...

In this project, four unsupervised feature reduction algorithms for clustering problem were investigated and experimented upon two sets of data – handwritten digits data set and the functional magnetic resonance imaging (fMRI) resting state data set. Ratio of sum of squares (RSS), leverage score (LEV), and Laplacian score (LAP) were used to rank the influences of the features in the clustering....