Since functions of protein may come from its structure, the method of measuring structural similarity between two proteins can infer their functional closeness [1]. Fast structural comparisons and retrieval methods are necessary to deal with the increasing number of protein structural data via high-throughput structural genomics research. Many structural comparison methods have been proposed [2...

We propose the B c → B * u γ decay as the most suitable probe for the flavour changing neutral transition c → uγ. We estimate the short and long distance contributions to this decay within the standard model and we find them to be comparable; this is in contrast to radia-tive decays of D mesons, that are completely dominated by the long distance contributions. Since the c → uγ transition is ver...

Nonnegative Matrix Factorization (NMF) has been applied with great success to many applications. As NMF is applied to massive datasets such as web-scale dyadic data, it is desirable to leverage a cluster of machines to speed up the factorization. However, it is challenging to efficiently implement NMF in a distributed environment. In this paper, we show that by leveraging a new form of update f...

Thus far we have been considered linear sketching algorithms for data streams where the sketch is given by an S ×M random matrix A where S is small and at most the space bound and M is huge. So far, as in the Count-Min, Count, and Tug-of-War sketches, the matrix A has been defined implicitly using pairwise or 4-wise independence using a very small number of random bits that contribute only a sm...

In bioinformatics it is often desirable to combine data from various measurement sources and thus structured feature vectors are to be analyzed that possess different intrinsic blocking characteristics (e.g., different patterns of missing values, observation noise levels, effective intrinsic dimensionalities). We propose a new machine learning tool, heterogeneous component analysis (HCA), for f...

A very active subfield in high energy physics recently is the study of hadrons with heavy-light quark content [1]. A major effort has been spent in calculating the Isgur-Wise function, which, once it is determined, can be widely used in calculations of heavy meson decay (b → c) processes. After an initial exploration [2], calculations of the Isgur-Wise function on the lattice [3– 5] have quickl...

histopathology slides are one of the most applicable resources for pathology studies. as observation of these kinds of slides even by skillful pathologists is a tedious and time‑consuming activity, computerizing this procedure aids the experts to have faster analysis with more case studies per day. in this paper, an automatic mitosis detection system (amds) for breast cancer histopathological s...

Document Clustering is an issue of measuring similarity between documents and grouping similar documents together. Information Retrieval (IR) is an issue of comparing query with a collection of documents to locate a set of documents relevant to a particular query. In the vector space IR model, a query is treated as a document which consists of a few terms. Therefore, in both clustering and retr...