In deep learning-based local stereo matching methods, larger image patches usually bring better accuracy. However, it is unrealistic to increase the size of patch without restriction. Arbitrarily extending will change method into global method, and accuracy be saturated. We simplified existing Siamese convolutional network by reducing number parameters propose an efficient CNN based structure, ...

Cluster matching by permuting cluster labels is important in many clustering contexts such as cluster validation and cluster ensemble techniques. The classic approach is to minimize the euclidean distance between two cluster solutions which induces inappropriate stability in certain settings. Therefore, we present the truematch algorithm that introduces two improvements best explained in the cr...

Automated data analysis and pattern recognition techniques are the requirements of biological and proteomicsresearch studies. The analysis of proteins consists of some stages among which the analysis of two dimensionalelectrophoresis (2-DE) images is crucial. The aim of image capturing is to generate a Photostat that can be used infuture works such as image comparison. The researchers introduce...