Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for interpreting static images are trained using disparity information, we developed an analogous framework for unsupervised learning. The output of our method is a model that can generate a vector representation or descripto...

A discrete model, inspired by publication activity, is introduced. It includes an increasing number of objects equipped with positive weights, which also increase with time. The random evolution of the model is driven by a weight dependent dynamics in such a way that the empirical weight distribution converges weakly with probability 1, and the limit law has a regularly varying tail. The probab...

Fatigue damage of engineering materials severely affects the serviceability their structures. It is impracticable to accurately predict fatigue process due variability material properties, microstructure heterogeneity and others. This study aims track entire viscoelastic by coupling with mechanism. A typical material, asphalt binder, widely used in pavement selected for investigation this study...

Noam Nisan constructed pseudo random number generators which convert O(S log R) truly random bits to R bits that appear random to any algorithm that runs in SPACE(S). D Sivakumar, demonstrated that a large class of probabilistic algorithms can be derandomized using Nisan’s construction. This class of algorithms is characterized by the fact that each probabilistic algorithm can thought of as a s...

in this paper, three dimensional (3d) static and dynamic analysis of thick plates based on the meshless local petrov-galerkin (mlpg) is presented. using the kinematics of a three-dimensional continuum, the local weak form of the equilibrium equations is derived. a weak formulation for the set of governing equations is transformed into local integral equations on local sub-domains by using a uni...