background: accurate identification of sheep nematodes is a critical point in epidemiological studies and monitoring of drug resistance in flocks. however, due to a close morphological similarity between the eggs and larval stages of many of these nematodes,such identification is not a trivial task. there are a number of studies showing that molecular targets in ribosomal dna (internal transcri...

Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment by maximizing the score of a face recognition algorithm. In this paper we investigate the practical usability of our face registration method. Experiments show that our registration method achieves better results in ...

A vast amount of information is being stored in scientific databases on the web. The dynamic nature of the scientific data, the cost of providing an up-to-date snapshot of the whole database, and proprietary considerations compel the database owners to hide the original data behind search interfaces. The information is often provided to researchers through similarity-search query interfaces, wh...

Similarity scores in face recognition represent the proximity between pairs of images as computed by a matching algorithm. Given a large set of images and the proximities between all pairs, a similarity score space is defined. Cluster analysis was applied to the similarity score space to develop various taxonomies. Given the number of subjects in the dataset, we used hierarchical methods to agg...

In computational biology, a large amount of problems, such as pattern discovery, deals with the comparison of several sequences (of nucleotides, proteines or genes for instance). Very often, algorithms that address this problem use score functions that reflect a notion of similarity between the sequences. The most efficient methods take benefit from theoretical knowledge of the classical behavi...

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 ...

We describe the system we developed to participate in SemEval 2015 Task 1, Paraphrase and Semantic Similarity in Twitter. We create similarity vectors from two-skip trigrams of preprocessed tweets and measure their semantic similarity using our UMBC-STS system. We submit two runs. The best result is ranked eleventh out of eighteen teams with F1 score of 0.599.