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With the continuous development of network and database technology, share and conversion on heterogeneous data are still a complex problem currently facing. Current methods are mostly based on the similarity between the field to complete the matching process, although this method can finish partial matches on information, its time complexity is very high due to the large processing data sets and the...
This paper presents a flexible shape-based texture analysis method by investigating the co-occurrence patterns of shapes. More precisely, a texture image is represented by a tree of shapes, each of which is associated with several attributes. The modeling of texture is thus converted to characterize the tree of shapes. To this aim, we first learn a set of co-occurrence patterns of shapes from texture...
Using melody and/or lyric to query a music retrieval system is convenient for users but challenging for developers. This paper proposes efficient schemes for realizing key algorithms in such a kind of system. Specifically, we characterize our system by adding lyric to query as follows: A Support Vector Machine (SVM) is employed to distinguish humming queries from singing queries, For a singing query,...
One important challenge for speaker identification (SID) system is sustained performance in diverse conditions. This study presents a novel front-end feature extraction method for SID in clean, noisy, and channel-mismatched acoustic conditions. To address the problem, the perceptual minimum variance distortionless response (PMVDR) feature is employed. While PMVDR has been successfully used for noisy...
This paper proposes an effective implementation of query by humming (QBH) system via hierarchical filters. Firstly locality sensitive hashing (LSH) is used to screen candidate fragments. Secondly linear scaling (LS) is applied to filter out more false candidates and a new method called linear alignment (LA) is presented to locate accurate boundaries of fragments. Then recursive alignment (RA) is employed...
With the wide application of web database, Web pages are continuously deepened. In order to use Deep Web resources effectively, the Deep Web data need to be integrated on a large scale, and data sources discover is the primary work of Deep Web resources integration. The Deep Web site found efficiently is the key of the Deep Web data Integration. This paper puts forward a kind of Deep Web entry automatic...
Lacking of dataset is still a serious problem for researchers who study on online handwriting word recognition (HWR). In this paper, a handwritten Chinese word synthesis method is proposed for the first time to generate a large scale handwritten Chinese word dataset. The distributions of shape and position characteristics, such as aspect radio, character interval and the angle of gravity center line...
Most previous approaches to automatic audio events (AEs) annotation are based on supervised learning which relies on the availability of a labeled corpus to train classification models. However, instance annotation is often difficult, expensive, and time consuming. In this paper, we apply semi-supervised learning with transductive Support Vector Machine (TSVM) algorithm to automatic AEs annotation...
This paper introduces the basic theories of multi-agent system and the communication manner between various agents. Furthermore, a knowledge management system model about distributed data mining system based on multi-agent system is brought forward for the system distributed geographically and logically, in which the problem how to mining a large amount of distributed data can be solved. And the implementation...
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