1. INTRODUCTION This paper is my description of the state of statistical data editing and current research problems. It is not intended to be a complete description of all areas. Rather, it represents sub-areas of statistical data editing that I will describe in sufficient detail so that the discussion of a few research problems is more easily understood. I define statistical data editing (SDE)...

, have recently shown how to model hard binary Constraint Satisfaction Problems (CSPs). Their model parameterizes CSPs with a global constraint tightness. This paper presents a new model which parameterizes CSPs with local constraint tightness parameters. The new model combines Smith's predictor of the transition point ^ p 2crit with local graph topology. We show empirically that the new model ...

human action recognition is an important problem in computer vision. one of the methods that are recently used is sparse coding. conventional sparse coding algorithms learn dictionaries and codes in an unsupervised manner and neglect class information that is available in the training set. but in this paper for solving this problem, we use a discriminative sparse code based on multi-manifolds. ...

In this paper, we propose different algorithms for the solution of a tensor linear discrete ill-posed problem arising in application meshless method solving PDEs three-dimensional space using multiquadric radial basis functions. It is well known that truncated singular value decomposition (TSVD) most common effective solver ill-conditioned systems, but unfortunately operation count system with ...

Extensive electrophysiology studies have shown that many V1 simple cells have nonlinear response properties to stimuli within their classical receptive field (CRF) and receive contextual influence from stimuli outside the CRF modulating the cell's response. Models seeking to explain these non-classical receptive field (nCRF) effects in terms of circuit mechanisms, input-output descriptions, or ...