Fast facial points fitting plays an important role in applications such as Human-computer Interaction, entertainment, surveillance, and is highly relevant to the techniques of facial expression analysis, face recognit...
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In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets. Different from the previous algorith...
Attribute reduction is a basic issue in rough set theory. But related researches on reduction in inconsistent incomplete decision system (IIDS) are currently rarely reported. In this paper, the concept of assignment r...
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Learning to rank is designed to determine a ranking for the target objects according to some rule. Specifically, the problem about learning to rank is to learn a ranking function from a training set whose data has bee...
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ISBN:
(纸本)9787894631046
Learning to rank is designed to determine a ranking for the target objects according to some rule. Specifically, the problem about learning to rank is to learn a ranking function from a training set whose data has been ranked. It is most applied to the social sciences and information retrieval. Learning to rank is a hot issue in the field of information retrieval and machine learning at present. This paper analyses the process of Ranking Support Vector machine (RSVM) from a theoretical point of view from the classification and regression respectively, and sets up the two basic mathematical models about RSVM. The general introduction about RSVM in the application, training speed and generalization ability is also given. In the end, we come to a conclusion.
Modern compilers use machine learning to find from their prior experience useful heuristics for new programs encountered in order to accelerate the optimization process. However, prior experience might not be applicab...
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Modern compilers use machine learning to find from their prior experience useful heuristics for new programs encountered in order to accelerate the optimization process. However, prior experience might not be applicable for outlier programs with unfamiliar code features. This paper presents a Reverse K-nearest neighbor (RKNN) algorithm based approach for outlier detection. The compiler can therefore launch a search within an optimization space when outlier programs are encountered, or directly apply its experience to non-outliers. Preliminary experimental results demonstrate the effectiveness of the approach.
Synchronization schemes are critical for on-chip multi-core and many-core processor to execute correctly and communicate cooperatively. The efficiency of the synchronization is very important for the processor. In thi...
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Synchronization schemes are critical for on-chip multi-core and many-core processor to execute correctly and communicate cooperatively. The efficiency of the synchronization is very important for the processor. In this paper, for on-chip many-core architecture, three types of synchronization schemes are proposed. That is, two types of coarse-grain synchronization schemes based on dedicated hardware support and atomic operation, and a fine-grain synchronization scheme based on Full/Empty bit. Then, the evaluation criterions and methods are proposed, in which quantitative evaluation micro-benchmarks are designed for coarse-grain synchronization schemes. Finally, the coarse-grain synchronization schemes are evaluated via a many-core architecture simulator, i.e., Godson-T, and AMD Opteron commercial on-chip multi-processor using pThread multi-thread program model. The results show that hardware support improves the performance of the synchronization obviously for on-chip many-core processor, and the performance loss of the traditional synchronization scheme based on atomic instructions is caused by the waiting cost of load imbalance and serialization on synchronization point mostly.
The dynamic description logic DDL provides a kind of action theories based on description logics (DLs). Compared with another important DL-based action formalism constructed by Baader ***., a shortcoming of DDL is the...
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Video event detection is an important research area *** the video event is a key problem in video event *** this paper,we combine dynamic description logic with linear time temporal logic to build a logic system for v...
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Video event detection is an important research area *** the video event is a key problem in video event *** this paper,we combine dynamic description logic with linear time temporal logic to build a logic system for video event *** proposed logic system is named as LTD_(ALCO)which can represent and inference the static,dynamic and temporal knowledge in one uniform logic *** on the LTD_(ALCO),a framework for video event detection is *** video event detection framework can automatically obtain the logic description of video content with the help of ontology-based computer vision techniques and detect the specified video event based on satisfiability checking on LTD_(ALCO)formulas.
The rapid growth in the development of Internet-based information systems increases the demand for natural language interfaces that are easy to set up and maintain. Unfortunately, the problem of deep understanding nat...
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We study the capacity scaling laws for the cognitive network that consists of the primary hybrid network (PhN) and secondary ad hoc network (SaN). PhN is further comprised of an ad hoc network and a base station based...
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