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排序方式: 共有53条查询结果,搜索用时 31 毫秒
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We present ECOC-DRF, a framework where potential functions for Discriminative Random Fields are formulated as an ensemble of classifiers. We introduce the label trick, a technique to express transitions in the pairwise potential as meta-classes. This allows to independently learn any possible transition between labels without assuming any pre-defined model. The Error Correcting Output Codes matrix is used as ensemble framework for the combination of margin classifiers. We apply ECOC-DRF to a large set of classification problems, covering synthetic, natural and medical images for binary and multi-class cases, outperforming state-of-the art in almost all the experiments. 相似文献
3.
Yu J Amores J Sebe N Radeva P Tian Q 《IEEE transactions on pattern analysis and machine intelligence》2008,30(3):451-462
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance functions. A new set of distance measures are derived from the harmonic distance, the geometric distance, and their generalized variants according to the Maximum Likelihood theory. These measures can provide a more accurate feature model than the classical Euclidean and Manhattan distances. We also find that the feature elements are often from heterogeneous sources that may have different influence on similarity estimation. Therefore, the assumption of single isotropic distribution model is often inappropriate. To alleviate this problem, we use a boosted distance measure framework that finds multiple distance measures which fit the distribution of selected feature elements best for accurate similarity estimation. The new distance measures for similarity estimation are tested on two applications: stereo matching and motion tracking in video sequences. The performance of boosted distance measure is further evaluated on several benchmark data sets from the UCI repository and two image retrieval applications. In all the experiments, robust results are obtained based on the proposed methods. 相似文献
4.
The hyper-singular traction boundary integral equation method (BIEM) has been developed to analyze the dynamic behavior of two-dimensional finite bi-material plates with one or more interface cracks under uniform time-harmonic tension. The multi-region BEM technique is employed. Fracture parameters and scattered wave field far from the crack-tips are computed. The numerical results show the dependence of these dynamic characteristics on the frequency of the applied load, on the Dundurs bi-material constants, on the crack length and on the existence of other neighboring cracks. 相似文献
5.
Traffic sign classification represents a classical application of multi-object recognition processing in uncontrolled adverse
environments. Lack of visibility, illumination changes, and partial occlusions are just a few problems. In this paper, we
introduce a novel system for multi-class classification of traffic signs based on error correcting output codes (ECOC). ECOC
is based on an ensemble of binary classifiers that are trained on bi-partition of classes. We classify a wide set of traffic
signs types using robust error correcting codings. Moreover, we introduce the novel β-correction decoding strategy that outperforms the state-of-the-art decoding techniques, classifying a high number of classes
with great success. 相似文献
6.
Sergio Escalera Oriol Pujol Josepa Mauri Petia Radeva 《Journal of Signal Processing Systems》2009,55(1-3):35-47
Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on radial frequency, texture-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multi-class learning techniques. In this sense, error-correcting output codes (ECOC) show to robustly combine binary classifiers to solve multi-class problems. In this context, we propose a strategy to model multi-class classification tasks using sub-classes information in the ECOC framework. The new strategy splits the classes into different sub-sets according to the applied base classifier. Complex IVUS data sets containing overlapping data are learnt by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. The method automatically characterizes different tissues, showing performance improvements over the state-of-the-art ECOC techniques for different base classifiers. Furthermore, the combination of RF and texture-based features also shows improvements over the state-of-the-art approaches. 相似文献
7.
In this work, we study the elastic wave fields that develop in an isotropic half-plane which contains different types of heterogeneities such as free-surface relief, unlined and lined tunnels, as well as multiple buried inclusions. The half-plane is swept by traveling harmonic waves, namely pressure waves, vertically polarized shear waves and Rayleigh waves, as well as by waves emanating from an embedded source. The computational tool used is the direct boundary element method (BEM) with sub-structuring capabilities. Following development and numerical implementation of the BEM, two stages of work are performed, namely a detailed verification study followed by extensive parametric investigations. These last numerical simulations help determine the dependence of the elastic waves that develop along the surface of the half-plane, as well as of the dynamic stress concentration factors in the different types of buried inclusions, to the following key factors: geometry of the free-surface relief, geometry, depth of burial and separation distance of the inclusions, wavelength to inclusion diameter ratio and dynamic interaction phenomena between the multiple heterogeneities. In closing, the potential of the enhanced BEM formulation to treat dynamic soil-structure-interaction problems with the kind of complexity expected in realistic engineering applications is discussed. 相似文献
8.
9.
Summary p-Isopropenylcalix[n]arenes are useful building blocks for the design of novel polymer architectures. This paper is the first
report on copolymerization of p-isopropenylcalix[8]arene and styrene by free radical polymerization. An extensive study on
the optimization of the reaction conditions (especially monomer to initiator ratio, initiator concentration, and duration
of the process) was performed in order to prepare high molecular weight copolymers in good yield. Homopolymerizations were
also carried out for comparison. The products obtained by homopolymerization of the monomers and their copolymerization were
fractionated and each fraction was characterized by chromatographic (GPC and HLPC) and spectroscopic methods as UV, IR and
1H NMR and analytical methods. Considering the molecular weight, spectroscopic and analytical data the most probable structure
of the copolymer was proposed. Extraction of metal picrates from water into organic solvent was used to evaluate the ion binding
capabilities of p-isopropenylcalix[8]arenestyrene and O-acetylated p-isopropenycalix[8]arenestyrene copolymers. 相似文献
10.
Abstract A numerical procedure for the solution of a wave propagation problem in a solder joint with a line crack in its base layer is presented. The two-dimensional “in-plane” wave propagation problem for a finite, multilayered body with a line crack in one of the layers is solved by the combined usage of the displacement and the traction BIEM. The discretization of the boundary with parabolic elements far from the crack edge and with quarter-point crack-tip boundary elements containing the correct O() behavior for displacement variations at the crack edge is used. Numerical results for a solder joint with real geometry and physical properties are presented. The relations between the wave scattering problems, the solder joint fatigue state estimation, and the reliability and quality of electronic packages is discussed. 相似文献