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1.
We address the problem of multi-label classification in heterogeneous graphs, where nodes belong to different types and different
types have different sets of classification labels. We present a novel approach that aims to classify nodes based on their
neighborhoods. We model the mutual influence of nodes as a random walk in which the random surfer aims at distributing class
labels to nodes while walking through the graph. When viewing class labels as “colors”, the random surfer is essentially spraying
different node types with different color palettes; hence the name Graffiti of our method. In contrast to previous work on
topic-based random surfer models, our approach captures and exploits the mutual influence of nodes of the same type based
on their connections to nodes of other types. We show important properties of our algorithm such as convergence and scalability.
We also confirm the practical viability of Graffiti by an experimental study on subsets of the popular social networks Flickr and LibraryThing. We demonstrate the superiority of our approach by comparing it to three other state-of-the-art techniques for graph-based
classification. 相似文献
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Radostina A. Angelova 《纺织学会志》2017,108(5):870-876
This study aims to present a novel approach in creation of new patterns for woven textiles, which is based on musical scores. Such a design method has not been presented in the literature. It is based on the similarity between the music notation and the 2D coding of woven patterns. Theoretical and practical details on application of the design method are discussed. Weave patterns, based on famous musical pieces, are presented together with exemplary color designs. The four ‘musical’ patterns and their color designs could be considered as successful first attempts that open up additional opportunities for design and production of original, unique fabrics. 相似文献
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Material soluble in chloroform has been extracted from bright bituminous coals of two different ranks
- 1. (1) following preheating to the temperatures of maximal plasticity;
- 2. (2) after treatment with sodium in liquid ammonia;
- 3. (3) by fractionating the pyridine extracts;
- 4. (4) after preliminary acetylation with acetic anhydride in the presence of pyridine.
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Mobility Tracking in Cellular Networks Using Particle Filtering 总被引:1,自引:0,他引:1
Mihaylova L. Angelova D. Honary S. Bull D.R. Canagarajah C.N. Ristic B. 《Wireless Communications, IEEE Transactions on》2007,6(10):3589-3599
Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view. This paper proposes Monte Carlo techniques for mobility tracking in wireless communication networks by means of received signal strength indications. These techniques allow for accurate estimation of mobile station's (MS) position and speed. The command process of the MS is represented by a first-order Markov model which can take values from a finite set of acceleration levels. The wide range of acceleration changes is covered by a set of preliminary determined acceleration values. A particle filter and a Rao-Blackwellised particle filter are proposed and their performance is evaluated both over synthetic and real data. A comparison with an extended Kalman filter (EKF) is performed with respect to accuracy and computational complexity. With a small number of particles the RBPF gives more accurate results than the PF and the EKF. A posterior Cramer Rao lower bound (PCRLB) is calculated and it is compared with the filters' root- mean-square error performance. 相似文献
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