This paper describes a novel and fast approach to Full Search Block Matching (FSBM) employing prediction of search region, based on the sampled statistics of Sum-of-Absolute Difference (SAD) distributions. The motion vector is predicted to belong to either of two regions, representing long-motion and short-motion, with limited amount of overlap between the two. The proposed prediction is statis...

The paper presents a competitive prediction-style upper bound on the square loss of the Aggregating Algorithm for Regression with Changing Dependencies in the linear case. The algorithm is able to compete with a sequence of linear predictors provided the sum of squared Euclidean norms of differences of regression coefficient vectors grows at a sublinear rate.

Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene expression data is the clustering of genes into groups that show similar expression values over a range of conditions. Since only a small subset of the genes participate in any cellular process of interest, by focusing ...

Baseline differences between patients without heart disease (HD) and with HD were assessed by the chi-squared test for categorical data. Quantitative data were tested for normality using the Kolmogorov–Smirnov test. The t-test was used to test differences for normally distributed data; otherwise the Wilcoxon rank-sum test was used. Clinical baseline data comparing these groups are visualized in...

In video coding, the most commonly used Motion Estimation distortion metrics are predominantly based on the Sum of Absolute Differences (SAD) and the Sum of Absolute Transformed Differences (SATD). Consequently the Joint Model (JM) H.264/AVC Reference Software utilises them and by default, the JM software selects the SAD as the Error Metric for FullPixel (first layer) motion estimation and the ...

We have built a high-speed, physically robust stereo ranging system. We describe our experiences with this system on several autonomous robot vehicles. We use a custom built, trinocular stereo jig and three specially modified CCD cameras. Stereo matching is per$ormed using the sum-ofsum-of-squared differences technique.

A facility has to be located within a given region taking two criteria of equity and efficiency into account. Equity is sought by minimizing the inequality in the inhabitant-facility distances, as measured by the sum of the absolute differences between all pairs of squared Euclidean distances from inhabitants to the facility. This measure meets the Pigou-Dalton condition of transfers, and can e...

Maximizing the separating margin is crucial for the good generalization performance of Support Vector Machines (SVMs). Analogous to the definition of separation distance or separating margin in SVMs, we propose a definition on separation distance in clustering tasks when a hyperplane is used to separate clusters. For given training data and a given metric distance, by maximizing the proposed se...