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The objective of this one-day workshop is to bring researchers and practitioners together in order to investigate opportunities in exploiting virtualized active (compute-enabled) technologies such as ...
Active Learning addresses the interaction between Machine Learning/Data Mining algorithms and human feedbacks, reduces the human efforts for manual labelling, avoids data redundancy, and improves the ...
Science, technology, and commerce increasingly recognize the importance of machine learning approaches for data-intensive, evidence based decision making.
Methods are given for statically analyzing sets of database production rules to determine if the rules are (1) guaranteed to terminate, (2) guaranteed to produce a unique nal database state, and (3) ...
GREAT Expectations stands for Group work, Reflection, Evaluation of self and peers, Application of course content to real-world problems and Testing (pre- and post-testing). It encompasses all of the ...
In this paper, we attempt to quantify the amount of labeled data necessary to build a state-of-the-art speaker recognition system. We begin by using i-vectors and the cosine similarity metric to repre...
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...
Active control of the pump spatial profile is proposed to exercise control over random laser emission. We demonstrate numerically the selection of any desired lasing mode from the emission spectrum. A...
We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is...
Active illumination and appearance model for face alignment     AIA  alignment  illumination  face modeling  sub-spaces  active appearance       font style='font-size:12px;'> 2010/10/12
Illumination conditions have an explicit effect on the performance of face recognition systems. In particular, varying the illumination upon the face imposes such complex effects that the identificati...
Active XML文档物化终止性检验算法     AXML文档  Web服务  物化       font style='font-size:12px;'> 2009/10/12
Active XML(简记为AXML)文档在XML文档中引入嵌入式Web服务,通过调用这些服务,来获取相应的内涵信息,为AXML文档物化过程。研究了AXML文档物化的终止性检验问题,提出了多项式时间的检验算法,该算法通过构造AXML模式依赖图,检验其无环性来判定AXML文档物化终止性问题,证明了算法的正确性和有效性。
The problem of the estimation of the discrete state of a switching system is studied. The knowledge of the switching law is essential for this kind of system as it simplifies their manipulation for co...
基于形式语言理论的Active XML重写算法     主动XML  数据交换  文档重写       font style='font-size:12px;'> 2009/8/20
主动XML(AXML)是指一部分数据直接给出,另一部分数据以Web Services调用方式隐含给出XML文档。研究AXML重写问题,给出AXML重写系统的形式化定义,提出一个基于树自动机理论的AXML文档重写算法,并证明该算法的正确性及有效性。实验数据表明,基于树自动机的AXML文档交换方法具有良好的执行效率。
In this work, the signal and noise behaviors of a microwave transistor within its operation domain (CT,VDS, IDS, f) are modeled by the Artificial Neural Network (ANN) and Fuzzy Logic System (FLS) with...
Recently, multiple kernel learning (MKL) methods have shown promising performance in image classification. As a sort of supervised learning, training MKL-based classifiers relies on selecting and anno...

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