Content Based Image Retrieval (CBIR) has become one of the most active research areas in computerscience. Relevance feedback is often used in CBIR systems to bridge the semantic gap. Typically, users are asked to mak...
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ISBN:
(纸本)9781605586083
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computerscience. Relevance feedback is often used in CBIR systems to bridge the semantic gap. Typically, users are asked to make relevance judgements on some query results, and the feedback information is then used to re-rank the images in the database. An effective relevance feedback algorithm must provide the users with the most informative images with respect to the ranking function. In this paper, we propose a novel active learning algorithm, called Convex Laplacian Regularized Ioptimal Design (CLapRID), for relevance feedback image retrieval. Our algorithm is based on a regression model which minimizes the least square error on the labeled images and simultaneously preserves the intrinsic geometrical structure of the image space. It selects the most informative images which minimize the average predictive variance. The optimization problem of CLapRID can be cast as a semidefinite programming (SDP) problem, and solved via interior-point methods. Experimental results on COREL database have demonstrate the effectiveness of the proposed algorithm for relevance feedback image retrieval. Copyright 2009 ACM.
The tradeoff between revenue and market share triggers the emergence of targeted advertising. However, all previous related work only focuses on the topical relevance of ads and does not concern the attitudes of consu...
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The tradeoff between revenue and market share triggers the emergence of targeted advertising. However, all previous related work only focuses on the topical relevance of ads and does not concern the attitudes of consumers. In our paper, we propose a novel advertising strategy DASA (dissatisfaction-oriented advertising based on sentiment analysis) which takes the attitudes of consumers into consideration and promotes ads according to what consumers are unsatisfied with. Our work is most suitable for user generated content which contains plenty of consumerspsila opinionated information. The experiments show encouraging results.
We present a holistic dynamic linking and loading mechanism in networked embedded systems. Our design and implementation are guided by four requirements, which are to provide (i) minimal code size (ii) efficient execu...
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ISBN:
(纸本)9781424451142
We present a holistic dynamic linking and loading mechanism in networked embedded systems. Our design and implementation are guided by four requirements, which are to provide (i) minimal code size (ii) efficient execution and loading speed (iii) portable design (iv) isolated kernel/application development. First, we develop a tool to minimize the standard ELF format via many techniques in order to reduce the code dissemination cost. Second, we employ the techniques of pre-relocating and pre-linking (to kernel functions) to reduce the run-time linking overhead, thus improving the loading speed. Third, based on relocatable ELF and the modular design of the dynamic linker and loader, our approach can be easily ported to different platforms. Fourth, by maintaining a kernel jump table, we provide a clean isolation between kernel and application development. We have implemented the dynamic linking and loading mechanism on SenSpire OS, a micro sensor node operating system. The evaluation results show that our design and implementation meet our design goals: the code size of our SELF format is only 15%-30% of that of standard ELF, 38%-83% of that of CELF, a compact ELF format for the Contiki operating system; the loading speed improvement varies from 40%-50% compared to the standard mechanism; our design is portable to both MicaZ and TelosB motes, and we allow updating both application modules and kernel services in isolation without prior knowledge about the whole system information.
Nowadays complex information system's integrated formal models of function verification and performance evaluation lack properties constraint about space aspect. This paper presents an integrated verification mode...
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Nowadays complex information system's integrated formal models of function verification and performance evaluation lack properties constraint about space aspect. This paper presents an integrated verification model atsFPM by defining a space requirement function over the states of the considered information system. The patterns of paths which are based on regular expressions is proposed in order to specify the functional specifications. The syntax and semantic of the model atsFPM is defined. A conversion product model is obtained by the combination of the system model and the automaton of the pattern of paths which expresses the functional specifications. The verification of the model atsFPM is tackled by the performance verification technique of Markov Reward Model. Experimental results show that the atsFPM model and its verification approach can satisfy the modeling of information system and verification of functional and performance specifications.
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