We have proposed a patch-based principal component analysis (PCA) method to deal with face recognition. Many PCA-based methods for face recognition utilize the correlation between pixels, columns, or rows. But the local spatial information is not utilized or not fully utilized in these methods. We believe that patches are more meaningful basic units for face recognition than pixels, columns, or...

PURPOSE Stenosis and occlusion rates of internal mammary artery (IMA) and saphenous vein (SV) coronary artery bypass grafts (CABGs) are markedly different, which result from respective disparities in vascular remodeling. Matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs) regulate vascular structure and may have important influence on graft patency. However, the...

We introduce our Transform Imager Technology and Architecture. This approach allows for Retina and higher-level bio-inspired computation in a programmable architecture that still possesses similar high-fill factor pixels of APS imagers. This imager is capable of programmable matrix operations on the image, where we can represent the image as either a full matrix or using block matrix operations...

When classifying an image, there might be several pixels having near among probability, spectral angle or mahalanobis distance which are normally regarded as unclassified or misclassified. These pixels so called chaos pixels exist because of radiometric overlap between classes, accuracy of parameters estimated, etc. which lead to some uncertainty in assigning a label to the pixels. To resolve s...

Grouping was recognized in computer vision early on as having the potential of improving both matching and recognition. Most papers consider grouping as a segmentation problem and a hard decision is made about which pixels in the image belong to the same object. In this paper we instead focus on soft pairwise grouping, that is computing affinities between pairs of pixels that reflect how likely...

In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...

This paper provides links between the young eld of attractor coding and the well-established elds of systems theory and graph theory. Attractor decoders are modeled as linear systems whose stability is both necessary and sufcient for convergence of the decoder. This stability is dictated by the location of the eigenvalues of the sparse state transition matrix of the system. The relationship bet...

In this paper we give a lifting factorization of any matrix of order 3 or 4 whose determinant is equal to one. In the case of matrices of order 4, the factorization has been obtained by solving a system of algebraic equations, thanks to a Gröbner basis computation. The lifting factorization associated with rounding allows to construct a transformation that maps integers to integers and that is ...

Motivated by a class of orbit problems in astrophysics, this paper considers solutions to Hill’s equation with forcing strength parameters that vary from cycle to cycle. The results are generalized to include period variations from cycle to cycle. The development of the solutions to the differential equation is governed by a discrete map. For the general case of Hill’s equation in the unstable ...

This paper presents and evaluates a multi-agent approach for range image segmentation. A set of reactive and autonomous agents perform a collective segmentation by partitioning a range image in its different planar regions. The agents move over the image and perform cooperative and competitive actions on the pixels, allowing a robust region extraction, and an accurate edge detection. An artific...