The minimal system ${\rm L}'_0$.

Probabilistic Word Alignment under the $L_0$-norm

This paper makes two contributions to the area of single-word based word alignment for bilingual sentence pairs. Firstly, it integrates the – seemingly rather different – works of (Bodrumlu et al., 2009) and the standard probabilistic ones into a single framework. Secondly, we present two algorithms to optimize the arising task. The first is an iterative scheme similar to Viterbi training, able...

Switch Source End System Forward RM Cell Backward RM Cell Data Cell Switch Destination End System

The Available Bit Rate ABR service that is being standardized by the ATM Forum dynamically deter mines the maximum transmission rate the explicit rate of a connection A drawback of the dynamic control scheme for calculating the explicit rates is that it tries to allocate the same bandwidth to all ABR connections regardless of the application type of the connection In this study a multi level ex...

Saliency Detection via Nonlocal L_0 Minimization

In this paper, by observing the intrinsic sparsity of saliency map for the image, we propose a novel nonlocal L0 minimization framework to extract the sparse geometric structure of the saliency maps for the natural images. Specifically, we first propose to use the k-nearest neighbors of superpixels to construct a graph in the feature space. The novel L0-regularized nonlocal minimization model i...

L_0-norm Minimization for Basis Selection

Finding the sparsest, or minimum l0-norm, representation of a signal given an overcomplete dictionary of basis vectors is an important problem in many application domains. Unfortunately, the required optimization problem is often intractable because there is a combinatorial increase in the number of local minima as the number of candidate basis vectors increases. This deficiency has prompted mo...

Topological superconductor in quasi-one-dimensional ${\rm Tl}_{2-x}{\rm Mo}_6{\rm Se}_6$