As sentence level sentiment analysis having been studied extensively, it has been proven that the syntactic structure of a sentence usually holds important information for sentiment analysis, especially for handling p...
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The sensitivity of a neural network's output to its parameter variation is an important issue in both theoretical researches and practical applications of neural networks. This paper proposes a quantified sensitiv...
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In this paper, we introduce our experiments carried out at TREC 2012 session track. Based on the work of our group in TREC 2011 session track, we propose several methods to improve the retrieval performance by conside...
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This paper is an overview of the runs carried out at TREC 2011 Session track, which proposes several approaches to improve the retrieval performance over one session including the search model based on user behavior, ...
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This paper is an overview of the runs carried out at TREC 2011 Session track, which proposes several approaches to improve the retrieval performance over one session including the search model based on user behavior, VSM meta similarity model, optimization based on history ranked lists, optimization based on user's attention time and anchor log. The evaluation results show that our implementations are effective.
This paper presents an audio event classification algorithm which automatically classifies an audio event as footstep,glass breaking,gunshot or scream mainly for surveillance ***,the Gabor feature of the audio spectro...
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ISBN:
(纸本)9781509012473
This paper presents an audio event classification algorithm which automatically classifies an audio event as footstep,glass breaking,gunshot or scream mainly for surveillance ***,the Gabor feature of the audio spectrogram is extracted,there are two kinds of Gabor features,namely global Gabor feature and local Gabor *** we use Principal Components Analysis(PCA) and Linear Discriminant Analysis(LDA) to compress the feature dimension,finally the K nearest neighbor classifier(KNN) is used to recognize audio *** carried out extensive experiments on the clean and noisy audio *** results demonstrate that the algorithm is able to guarantee a recall of 96.1%on clean sets and is proved to be more effective than traditional methods.
In recent years, crowdsourcing has become an effective method in many fields, such as relecance evaluation. Based on our experiment carried out in Beijing University of Posts and Telecommunications for the TREC 2011 C...
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In recent years, crowdsourcing has become an effective method in many fields, such as relecance evaluation. Based on our experiment carried out in Beijing University of Posts and Telecommunications for the TREC 2011 Crowdsourcing track, in this paper we introduce our strategies in recruiting workers, obtaining their relevance and rank juegements and quality control. Then we explain the improved EM algorithm and Gaussian model that we make use of to calculate the consensus of labels. The result shows that our stategies and algorithms are effective.
Image classification is a fundamental problem in computer vision and patternrecognition. Feature extraction is often regarded as the key for classifying images. Traditional ways rely on handcrafted features heavily, ...
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There are two important research topics in the field of Music Information Retrieval (MIR). One is how to improve the robustness of features and the other is how to speed up the retrieval process. This paper improved t...
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Atmospheric pollution is getting more and more attention because of the serious *** the pollutant source is one of the key steps to solve this *** paper introduces a new method to trace the pollution diffusion path ac...
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ISBN:
(纸本)9781509012473
Atmospheric pollution is getting more and more attention because of the serious *** the pollutant source is one of the key steps to solve this *** paper introduces a new method to trace the pollution diffusion path according to the relevance of different areas where they were polluted(the relatively small areas regard as points or lattices in this paper).We present the single point tracing to show the specific traceability and the area tracing to show the pollution spread trend.
This paper presents a novel humming feature extraction algorithm based on locality statistical analysis to tackle the problem of the instability of humming features in the query by humming（QBH） *** carrying out stat...
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ISBN:
(纸本)9781509012473
This paper presents a novel humming feature extraction algorithm based on locality statistical analysis to tackle the problem of the instability of humming features in the query by humming（QBH） *** carrying out statistics to humming notes sequences in both longitudinal vocal range distribution and horizontal temporal variation distribution,we can obtain the locality statistical humming *** we concatenate several features using the idea of N-gram to improve feature *** the framework of QBH based on Locality Sensitive Hashing（LSH）,the proposed method has achieves 86%top-1 rate and 92%top-5 rate in the experiment,indicating the effectiveness of the method.
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