Deep subspace clustering networks have attracted much attention in clustering, which an auto-encoder non-linearly maps the input data into a latent space, and fully connected layer named self-expressiveness module is introduced to learn affinity matrix via typical regularization term (e.g., sparse or low-rank). However, adopted terms ignore connectivity within each subspace, limiting their perf...

The trigram statistical language model is remarkably successful when used in such applications as speech recognition. However, the trigram model is static in that it only considers the previous two words when making a prediction about a future word. The work presented here attempts to improve upon the trigram model by considering additional contextual and longer distance information. This is fr...

The price transmission from the international market to the domestic market of tunas was investigated in the present research. For this purpose, the elasticity of substitution between tuna imports with goods produced in Iran (Armington Elasticity) was calculated. Armington elasticity reflects a degree of substitution between commodities produced domestically and those produced abroad. A greater...