Learning a distance metric from training samples is often a crucial step in machine learning and pattern recognition. Locality, compactness and consistency are considered as the key principles in distance metric learning. However, the existing metric learning methods just consider one or two of them. In this paper, we develop a multi-granularity distance learning technique. First, a new index, ...

Background & Objectives:To study the most precise location, shape and direction of infraorbital foramen in dry human skulls, in relation to Infraorbital Margin, Piriform Aperture(PA) and Upper Alveolar Margin(AM). Method: A total of one hundred dry human skulls of unknown gender were measured using digital calliper with Infraorbital Margin, Piriform Margin and Alveolar Margin as reference point...

This paper proposes a distance-based kernel change detection algorithm (DKCD). The input vectors from two images of different times are mapped into a potentially much higher dimensional feature space via a nonlinear mapping. Which will usually increase the linear separation of change and no-change regions. Then, a simple linear distance measure between two feature vectors of high dimension is d...

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...

To classify time series by nearest neighbor, we need to specify or learn a distance. We consider several variations of the Mahalanobis distance and the related Large Margin Nearest Neighbor Classification (LMNN). We find that the conventional Mahalanobis distance is counterproductive. However, both LMNN and the class-based diagonal Mahalanobis distance are competitive.

OBJECTIVE To investigate the effect of kinesiotape on hop distance, pain, and motoneuronal excitability in healthy people and people with Achilles tendinopathy (AT). DESIGN Within-subject design. SETTING An academic health science center, which is an acute London National Health Service trust. PARTICIPANTS With ethical approval and informed consent, a convenience sample of 26 healthy peop...

Humanoid robots could replace humans in hazardous situations but most of such are equally dangerous for them, which means that they have a high chance being damaged and falling. We hypothesize humanoid would be mostly used buildings, makes them likely to close wall. To avoid fall, can therefore lean on the closest wall, as human do, provided find few milliseconds where put hand(s). This letter ...

BACKGROUND Micrometastases of colorectal liver metastases are present in up to 50% of lesions. In this study we sought to determine the threshold dose for local control of occult micrometastases in patients undergoing CT (computed tomography)-guided brachytherapy of colorectal liver metastases. MATERIALS AND METHODS Nineteen patients demonstrated 34 local tumor recurrences originating from mi...

Support vector machine (SVM) has been one of the most popular learning algorithms, with the central idea of maximizing the minimum margin, i.e., the smallest distance from the instances to the classification boundary. Recent theoretical results, however, disclosed that maximizing the minimum margin does not necessarily lead to better generalization performances, and instead, the margin distribu...