knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. due to properly converting the task of optimization to an equivalent...

the simulation of distillation columns is an essential step in design, optimization, and rating. in this paper, a new procedure has been proposed for the initial estimation of column profiles based on modified kremser’s group method for simple and/or complex columns. the effect of this initialization algorithm on simulation procedure has been studied through two examples. the results show signi...

Batch normalization (BN) is comprised of a component followed by an affine transformation and has become essential for training deep neural networks. Standard initialization each BN in network sets the scale shift to 1 0, respectively. However, after we have observed that these parameters do not alter much from their initialization. Furthermore, noticed process can still yield overly large valu...

Advances in time-resolved three-dimensional Particle Tracking Velocimetry (4D-PTV) techniques have consistently revealed more accurate Lagrangian particle motions. A novel track initialization technique as a complementary part of 4D-PTV, based on local temporal and spatial coherency neighbor trajectories, is proposed. The proposed Coherent Track Initialization (LCTI) applies physics-based Finit...

We describe a static analysis method on Java bytecode to determine class initialization dependencies This method can be used for eager class loading and initialization It catches many initialization circularities that are missed by the standard lazy implementation Except for contrived examples the computed initialization order gives the same results as standard lazy initialization