How to avoiding the disadvantage of the pixelwise image process methods has been a open problem. An object-wise method was proposed to extract the water body of remote sensing image, which is locally excitatory globally inhibitory oscillator networks (LEGION). This oscillation network could bind an object based on the similar property. The oscillation network in this paper used the normalized d...

PURPOSE To evaluate the effect of the spatially constrained incoherent motion (SCIM) method on improving the precision and robustness of fast and slow diffusion parameter estimates from diffusion-weighted MRI in liver and spleen in comparison to the independent voxel-wise intravoxel incoherent motion (IVIM) model. METHODS We collected diffusion-weighted MRI (DW-MRI) data of 29 subjects (5 hea...

In this work, a block-wise extension of Tikhonov regularization is proposed for denoising smooth signals contaminated by wide-band noise. The proposed method is derived from a constrained least squares problem in two forms: 1) a block-wise fixed-lag smoother with smooth inter-block transitions applied in matrix form, and 2) a fixed-interval smoother applied as a forward-backward zero-phase filt...

Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between computer powers required by deep learning models and resource-constrained devices. However, for simple tasks like robotic detection, most traditional rule-based network can not reach a sufficient compression ratio with low accuracy loss time-consuming as well laborious. In this paper, we ...

1 Deenitions Consider a distribution D on n bits x = x 1 x n. D is k-wise independent ii for all sets of k indices S = fi 1 x ik = a 1 a k ] = 1 2 k : The idea is that if we restrict our attention to any k positions in x, no matter how many times we sample from D, we cannot distinguish D from the uniform distribution over n bits. We can get a Fourier interpretation of k-wise independence by vie...

In this paper we investigate the extent to which Katz backoff language models can be compressed through a combination of parameter quantization (width-wise compression) and parameter pruning (length-wise compression) methods while preserving performance. We compare the compression and performance that is achieved using entropy-based pruning against that achieved using only parameter quantizatio...