Improving function assignment for metalloenzymes through active site alignment using ProMOL/PyMOL

Improving Chernoff criterion for classification by using the filled function

Linear discriminant analysis is a well-known matrix-based dimensionality reduction method. It is a supervised feature extraction method used in two-class classification problems. However, it is incapable of dealing with data in which classes have unequal covariance matrices. Taking this issue, the Chernoff distance is an appropriate criterion to measure distances between distributions. In the p...

Improving Offset Assignment through Simultaneous Variable Coalescing

Efficient address code optimization is a central problem in code generation for processors with restricted addressing modes, like Digital Signal Processors (DSPs). This paper proposes a new heuristic to solve the Simple Offset Assignment (SOA) problem, the problem of allocating scalar variables to memory so as to minimize addressing code. This new approach, called Coalescing SOA (CSOA), perform...

Improving Offset Assignment through Variable Coalescing

Active Semi-Supervised Learning for Improving Word Alignment

Word alignment models form an important part of building statistical machine translation systems. Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial alignments acquired from humans. Such dedicated elicitation effort is often expensive and depends on availability of bilingual speakers for the language-pair. In this paper we st...

Face Alignment Through 2.5D Active Appearance Models

This work addresses the fitting of 3D deformable face models from a single view through 2.5D Active Appearance Models (AAM). The main contribution of this paper is the use of 2.5D AAM that combines a 3D metric Point Distribution Model (PDM) and a 2D appearance model whose control points are defined by full perspective projections of the PDM. The advantage is that, assuming a calibrated camera, ...