전문정보검색
| No | 제목 / 내용 |
|---|---|
| 1 |
Estudio histórico-léxico sobre la producción del aceite de oliva en las relaciones comerciale espanolLa busqueda de nuevos metodos que mejorasen la calidad produccion aceitera espanola en comparacion con otros paises el mercado |
| 2 |
Subset selection from biased dictionaries for impact acoustic classification In this paper we study a sparse signal representation approach for the classification of impact acoustic signals obtained from empty a |
| 3 |
A quantitative analysis of eCl@ss, UNSPSC, eOTD, and RNTD content, coverage, and maintenance A significant part of data and content management in e-business scenarios deals with exchanging product-related data between business |
| 4 |
Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyper Lack of labeled training samples is a big challenge for hyperspectral image (HSI) classification. In recent years, cross-scene classif |
| 5 |
Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Re BACKGROUND The use of electronic medical records (EMRs) offers opportunity for clinical epidemiological research. With large EMR datab |
| 6 |
Singular spectrum-based matrix completion for time series recovery and prediction AbstractBig data, characterized by huge volumes of continuously varying streams of information, present formidable challenges in terms |
| 7 |
Subspace-based support vector machines for pattern classification Abstract In this paper, we discuss subspace-based support vector machines (SS–SVMs), in which an input vector is classified int |
| 8 |
A new probabilistic relaxation scheme and its application to edge detection This paper presents a new scheme for probabilistic relaxation labeling that consists of an update function and a dictionary constructi |
| 9 |
Feature selection and fast training of subspace based support vector machines In this paper, we propose two methods for subspace based support vector machines (SS-SVMs) which are subspace based least squares supp |
| 10 |
Cross-View Self-Similarity Using Shared Dictionary Learning for Cervical Cancer Staging Dictionary Learning (DL) has gained large popularity in solving different computer vision and medical image problems. However, to the |