We present a fully automatic method for the alignment SAR images, which is capable of precise and robust alignment. A multiresolution SAR image matching metric is first used to automatically determine tie-points, which are then used to perform coarse-to-fine resolution image alignment. A formalism is developed for the automatic determination of tie-point regions that contain sufficiently distin...

One approach to predict the secondary structure of RNA is the comparative approach. This approach is used when alignment of several homologous sequences of a RNA is available. The idea is to underline covarying residues which maintain the Watson-Crick complementarity. The main problem of this approach is the selection of homologous sequences to use for the prediction. Indeed, there are many pos...

In this paper, we extend the HMM wordto-phrase alignment model with syntactic dependency constraints. The syntactic dependencies between multiple words in one language are introduced into the model in a bid to produce coherent alignments. Our experimental results on a variety of Chinese–English data show that our syntactically constrained model can lead to as much as a 3.24% relative improvemen...

Generative word alignment models, such as IBM Models, are restricted to oneto-many alignment, and cannot explicitly represent many-to-many relationships in a bilingual text. The problem is partially solved either by introducing heuristics or by agreement constraints such that two directional word alignments agree with each other. In this paper, we focus on the posterior regularization framework...

We constrain the luminosity and redshift dependence of intrinsic alignment (IA) a nearly volume-limited sample luminous red galaxies selected from fourth public data release Kilo-Degree Survey (KiDS-1000). To measure shapes galaxies, we used two complementary algorithms, finding consistent IA measurements for overlapping galaxy sample. The global significance detection across our independent sa...

Target extraction is an important task in opinion mining. In this task, a complete target consists of an aspect and its corresponding object. However, previous work has always simply regarded the aspect as the target itself and has ignored the important "object" element. Thus, these studies have addressed incomplete targets, which are of limited use for practical applications. This paper propos...

We show that applying semantic role label constraints to bracketing ITG alignment to train MT systems improves the quality of MT output in comparison to the conventional BITG and GIZA alignments. Moreover, we show that applying soft constraints to SRL-constrained BITG alignment leads to a better translation system compared to using hard constraints which appear too harsh to produce meaningful b...

Multiple sequence alignments with constraints are of priority concern in computational biology. Constrained sequence alignment incorporates the domain knowledge of biologists into sequence alignments such that the user-specified residues/segments are aligned together according to the alignment results. A series of constrained multiple sequence alignment tools have been developed in relevant lit...