This paper presents a new pel recursive motion compensated prediction algorithm for video coding applications. The derivation of the algorithm is based on Recursive Least Squares (RLS) estimation that minimizes the mean square prediction error for each pel (picture element). A comparison with the modified Steepest-descent gradient estimation algorithm shows significant improvement in terms of m...

We address the problem of minimizing objectives from the class of piecewise differentiable functions whose nonsmoothness can be encapsulated in the absolute value function. They possess local piecewise linear approximations with a discrepancy that can be bounded by a quadratic proximal term. This overestimating local model is continuous but generally nonconvex. It can be generated in its abs-no...

For demand estimation on traffic networks, a source of information of relatively moderate cost are traffic counts on a subset of links of the network and this fact has motivated the development of bilevel mathematical programming formulations for adjusting O-D trip matrices that reproduce the observed traffic volumes. In the algorithmic field several methods have been developed specifically for...

This paper presents a new method for accelerating intensity-modulated radiation therapy (IMRT) optimization using voxel sampling. Rather than calculating the dose to the entire patient at each step in the optimization, the dose is only calculated for some randomly selected voxels. Those voxels are then used to calculate estimates of the objective and gradient which are used in a randomized vers...

Standard backpropagation and many procedures derived from it use the steepest-descent method to minimize a cost function. In this paper, we present a new genetic algorithm, dynamic self-adaptation, to accelerate steepest descent as it is used in iterative procedures. The underlying idea is to take the learning rate of the previous step, to increase and decrease it slightly, to evaluate the cost...

A nonadiabatic steepest descent path method is developed as a qualitative tool to analyze and characterize three different kinetic regimes of electron transfer. In this approach, Miller’s semiclassical instanton solution and Pechukas’ self-consistent treatment of nonadiabatic coupling are applied to the path integral representation of the two-state diffusion equation. The resulting steepest des...

Standard backpropagation and many procedures derived from it use the steepest-descent method to minimize a cost function. In this paper, we present a new genetic algorithm, dynamic self-adaptation, to accelerate steepest descent as it is used in iterative procedures. The underlying idea is to take the learning rate of the previous step, to increase and decrease it slightly, to evaluate the cost...

This paper proposes a query expansion method using fuzzy abductive inference. This query expansion method for information retrieval is useful, because unexpected related information are probably be obtained by adding new words to the query. The fuzzy abductive inference is the inference method based on Peng and Reggia's abductive inference. This method infers irredundant combinations of concept...