A variety of algorithms have been developed for catalytic residue prediction based on either feature- or template-based methodology. However, no studies have systematically compared these two strategies and further considered whether their combination could improve the prediction performance. Herein, we developed an integrative algorithm named CRHunter by simultaneously using the complementarit...

A framework for the unification of statistical and structural information for pattern retrieval based on local feature sets is presented. We use local features constructed from coefficients of quantized block transforms borrowed from video compression which robustly preserving perceptual information under quantization. We then describe statistical information of patterns by histograms of the lo...

The offline handwriting recognition is one of the difficulties of pattern recognition, feature extraction results directly affects the recognition rate. Firstly, various existing structural features and statistical features will be analyzed, and feature fusion and feature extraction methods will introduction briefly. Finally, a method for feature extraction is presented, which is developed base...

This paper presents a method that generates natural and intuitive deformations via direct manipulation and smooth interpolation for multi-element 2D shapes. Observing that the structural relationships between different parts of a multi-element 2D shape are important for capturing its feature semantics, we introduce a simple structure called a feature frame to represent such relationships. A con...