When aligning texts in very di erent languages such as Korean and English, structural features beyond word or phrase give useful information. In this paper, we present a method for selecting structural features of two languages, from which we construct a model that assigns the conditional probabilities to corresponding tag sequences in bilingual EnglishKorean corpora. For tag sequence mapping b...

Structure-oriented approaches in clone detection have become popular in both code-based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. In this paper, we present Exas, an accurate and efficient structural characteri...

Predicting an interaction before it is fully executed is very important in applications such as human-robot interaction and video surveillance. In a two-human interaction scenario, there often contextual dependency structure between the global interaction context of the two humans and the local context of the different body parts of each human. In this paper, we propose to learn the structure o...

The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new approach is proposed for image feature extraction based on edge maps. The feature vector with multiple feature components is computed through a “Water-Filling Algorithm” applied on the edge map of the original image. The...

The performances of most existing 3D ear recognition methods are degraded sharply by pose variation. In this paper, a 3D ear representation called 3D auricle structural feature(3DASF) and the corresponding pose robust 3D ear recognition method is presented. By measuring the surface characteristics through Surface Variation, 3DASF that contains ear key physiological structure is extracted. Then ...

This paper presents a novel idea based on a kind of structure-based pattern, such as collarette, embedded in human iris for biometric recognition. The feature extraction module traces the collarette. The system encodes the features to generate its iris feature codes. Finally, the recognition module uses these feature codes for iris matching. The experimental results show that the system has an ...

Connectivity networks have been recently used for classification of neurodegenerative diseases, e.g., mild cognitive impairment (MCI). In typical connectivity network-based classification, features are often extracted from (multiple) connectivity networks and concatenated into a long vector for subsequent feature selection and classification. However, some useful network topological information...

SCRATCH is a server for predicting protein tertiary structure and structural features. The SCRATCH software suite includes predictors for secondary structure, relative solvent accessibility, disordered regions, domains, disulfide bridges, single mutation stability, residue contacts versus average, individual residue contacts and tertiary structure. The user simply provides an amino acid sequenc...

We specify here the features which are used by our models. Each feature description is composed of two parts: a description of a structural element, and a (possibly empty) description of a sequential context. All models discussed in the paper are obtained by combining a set of structural elements St with a set of sequential contexts Co, and producing all corresponding features (i.e. producing a...

Competing theories of analogical reasoning have disagreed on the relative contributions of surface and structural features to the access of previously read base stories when one is reading a current cue story. A key limitation of the prior work was that surface and structural feature overlap between bases and cues was not manipulated precisely. The present study systematically manipulated the n...