Abstract Cashmere and wool are common raw materials in the textile industry. The clothes made of cashmere popular because excellent comfort. A system that can quickly automatically classify two will improve efficiency fiber recognition We propose a classification method fibers based on feature fusion using maximum inter-class variance. First, target area is obtained by preprocessing algorithm. ...

We describe the use of flexible models for representing the shape and grey-level appearance of human faces. These models are controlled by a small number of parameters which can be used to code the overall appearance of a face for image compression and classification purposes. The model parameters control both inter-class and within-class variation. Discriminant analysis techniques are employed...

Recently there has been a great deal of interest in algorithms for constructing low-dimensional feature-space embeddings of high dimensional data sets in order to visualize inter- and intra-class relationships. In this paper we present a novel application of graph embedding in improving the accuracy of supervised classification schemes, especially in cases where object class labels cannot be re...

A novel bandwidth regulation mechanism is proposed which improves the ability of a packet-switching network to cope with multiple real-time and non-real-time traac classes. The mechanism achieves regulation of link bandwidth at two levels. At the rst level, band-width is dynamically regulated between diierent traac classes. The concept ofìnter-class regulation' is introduced which enforces that...

Objectives: Sensory neuropathy is the major cause of ulceration in diabetic patients. Periodical sensory examination is an appropriate method to detect neuropathy and decrease the risk of diabetic foot ulcer. Semmes–Weinstein Monofilaments (SWM) and tuning fork on/off test are widely used to assess pressure and vibration sensitivity. The present study evaluated the inter- and intra-rater reliab...

The Internet of Things (IoT) generates lots of high-dimensional sensor intelligent data. The processing of high-dimensional data (e.g., data visualization and data classification) is very difficult, so it requires excellent subspace learning algorithms to learn a latent subspace to preserve the intrinsic structure of the high-dimensional data, and abandon the least useful information in the sub...

BACKGROUND In chronic heart failure, several hormonal systems are activated with diagnostic and prognostic implications. We tested the hypotheses that serum Chromogranin-A (CgA) -- a 49 kDa acid protein present in the secretor granules of neuroendocrine cells -- is increased in chronic heart failure and that CgA levels are a predictive factor for mortality. METHOD AND RESULTS In 160 patients ...

abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...

BACKGROUND A 15-gene expression profile test has been clinically validated and is widely utilized in newly diagnosed uveal melanoma (UM) patients to assess metastatic potential of the tumor. As most patients are treated with eye-sparing radiotherapy, there is limited tumor tissue available for testing, and technical reliability and success of prognostic testing are critical. This study assessed...