The evaluation of land quality plays an important role in the study of land resources. Some software of GIS was applied to evaluate land quality in recent years. There is some limitation in Appling GIS to evaluate land quality directly. GIS combined with MCE (Multi-Criteria Evaluation) can eliminate limitation existing in using GIS singly. In this thesis key technology of evaluating land qualit...

A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learning proposed by Juang and Katagiri in 1992 results in better recognition performance than the maximum-likelihood (ML) based learning in various areas of pattern recognition. Despite its superiority in recognition perf...

Malignant cerebral edema (MCE) is often associated with severe physical disability and a high mortality rate. The current prediction of MCE focused on infarct volume, tools are relatively lacking. prominent veins sign (PVS-SWI) considered marker severely impaired tissue perfusion. This study aimed to determine whether PVS-SWI early-onset MCE. Patients acute ischemic stroke (AIS) due large arter...

In this paper we present a new approach for estimating the interpolation parameters of language models (LM) which are used as classifiers. With the classical maximum likelihood (ML) estimation theoretically one needs to have a huge amount of data and the fundamental density assumption has to be correct. Usually one of these conditions is violated, so different optimization techniques like maxim...

In this paper, a concatenated "super" string model based minimum classification error (MCE) model adaptation approach is described. We show that the error rate minimization in the proposed approach can be formulated into maximizing a special ratio of two positive functions. The proposed string model is used to derive the growth transform based error rate minimization for MCE linear regression (...

Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not all the newly added features are helpful to classification. Therefore it is necessary to reduce the dimensionality of feature space for effective and efficient pattern recognition. Two popular methods for dimensional...

Although B-mode harmonic, intermittent-triggered myocardial contrast echocardiography (MCE) is a well-established technique, a variety of MCE techniques have been introduced recently to improve myocardial opacification. One such technique uses a power Doppler method in conjunction with multiple frame triggering (MFT), but has been limited by nonuniform microbubble destruction and blooming as we...

The substitution of conventional bench-top instrumentation by fully integrated lab-on-chip systems continues to be a challenge. The integration of microfluidics and integrated optics in glass is an important step towards this goal, forming the focus of this work [1]. In particular, excitation and detection of fluorescence emitted by labeled biomolecules flowing through a microfluidic channel is...

Can farmers adapt to climate change by altering effective weather conditions on their fields? Existing technologies allow cool down plants a few degrees during critical periods, reducing the damage from excess heat. With nonlinear effects of high temperatures yields, slight cooling can bring significant gains in many crops. We call this approach “microclimate engineering” (MCE) and note that it...

Tanzania was one of the countries included in a Multi Country Evaluation (MCE) of Integrated Management of Childhood Illnesses (IMCI), coordinated by WHO in 1999-2002. The MCE found that IMCI improved of care for children under 5 years of age, reduced child mortality by 13% and was cost-effective at al, 2004). However, a decade after the introduction of IMCI in Tanzania, training of health work...