We present a new method for storing sparse matrices as a block matrix-graph where the blocks are stored via a compact, row-ordered scheme. This combines the exibility of the graph structure with the high eeciency of the compact storage technique. The inner compact pattern also allows identiication of entries, which often leads to advantages with respect to memory and computing time. Using this ...

Purpose. The purpose of this study was to evaluate the functional outcome and the tendon healing after arthroscopic double row rotator cuff repair of large and massive rotator cuff tears. Methods. 82 patients with a full-thickness large and massive rotator cuff tear underwent arthroscopic repair with double row technique. Results were evaluated by use of the UCLA, ASES, and Constant questionnai...

We describe a new technique for the analysis of data which is given in matrix form. We consider two sets of objects, the “row” and the “column” objects, and we represent these objects by a matrix of numerical values which describe their mutual relationships. We then introduce a new technique, the “Potential Support Vector Machine” (P-SVM), as a large-margin based method for the construction of ...

Objective: Shoulder pain and disability are mostly seen following rotator cuff rupture. Arthroscopic repair becomes a gold standard treatment for rupture when conservative fails. Comparing functional results, retear rates reoperation of arthroscopic in terms single-row versus double row techniques is our aim this study. 
 Material Method: Overall, 174 surgery patients were specified into 2...

Let A and B be n × m matrices. The matrix B is said to be g-row majorized (respectively g-column majorized) by A, if every row (respectively column) of B, is g-majorized by the corresponding row (respectively column) of A. In this paper all kinds of g-majorization are studied on Mn,m, and the possible structure of their linear preservers will be found. Also all linear operators T : Mn,m ---> Mn...

The thirst of better and faster retrieval techniques has always fuelled to the research in content based image retrieval (CBIR). The paper presents innovative content based image retrieval (CBIR) techniques based on feature vectors as fractional coefficients of column mean of row transformed images using Discrete Cosine, Walsh, Haar, Slant, Discrete Sine, and Hartley transforms. Here the advant...