-
Chapter and Conference Paper
Binaural Sound Source Distance Reproduction Based on Distance Variation Function and Artificial Reverberation
In this paper, a method combining the distance variation function (DVF) and image source method (ISM) is presented to generate binaural 3D audio with accurate feeling of distance. The DVF is introduced to indi...
-
Chapter and Conference Paper
Frame-Independent and Parallel Method for 3D Audio Real-Time Rendering on Mobile Devices
As 3D audio is a fundamental medium of virtual reality (VR), 3D audio real-time rendering technique is essential for the implementation of VR, especially on the mobile devices. While constrained by the limited...
-
Chapter and Conference Paper
Corpus-Based Correlational Study of Terms and Quality in Business English Writing
One of the most important tasks in automated essay scoring (AES) is feature selection. Terms are indispensable in Business English (BE) writing. In order to analyze the possibility of involving terms in BE wri...
-
Chapter and Conference Paper
An Adaptive Partition-Based Caching Approach for Efficient Range Queries on Key-Value Data
Range queries are real demands in big data scenarios, such as analytic and time-traveling queries over web archives. Here we design AdaSI, an adaptive partition-based caching approach for efficient range queri...
-
Chapter and Conference Paper
Factorization Machine Based Business Credit Scoring by Leveraging Internet Data
Small business accounts for an important part in national economy. However, there are many difficulties for small business to get loan from big banks. Although big banks have begun to accept small loan over th...
-
Chapter and Conference Paper
A Graph Clustering Algorithm for Citation Networks
In this paper, we propose a novel network clustering algorithm, called CPSCAN for detecting the communities of citation network based on the temporal feature. Firstly, with combining temporal interval and cita...
-
Chapter and Conference Paper
Context-Aware Chinese Microblog Sentiment Classification with Bidirectional LSTM
Recently, with the fast development of the microblog, analyzing the sentiment orientations of the tweets has become a hot research topic for both academic and industrial communities. Most of the existing metho...
-
Chapter and Conference Paper
Scalable Private Blocking Technique for Privacy-Preserving Record Linkage
Record linkage is the process of matching records from multiple databases that refer to the same entities and it has become an increasingly important subject in many application areas, including business, gove...
-
Chapter and Conference Paper
An Improved RANSAC Image Stitching Algorithm Based Similarity Degree
In terms of the deficiency in the aspects that the higher computational complexity caused by excessive iterations and the easy happened stitching dislocation caused by the difficult-to-determine parameters. In...
-
Chapter and Conference Paper
Historical Geo-Social Query Processing
Nowadays, more and more people would like to share their locations and check-in information through social networks – geo-social, which is also a hotspot in academic community. Previous works focus on query to...
-
Chapter and Conference Paper
Multi-label Chinese Microblog Emotion Classification via Convolutional Neural Network
Recently, analyzing people’s sentiments in microblogs has attracted more and more attentions from both academic and industrial communities. The traditional methods usually treat the sentiment analysis as a ki...
-
Chapter and Conference Paper
Hybrid-LSH for Spatio-Textual Similarity Queries
Locality Sensitive Hashing (LSH) is a popular method for high dimensional indexing and search over large datasets. However, little efforts have put forward to utilizing LSH in mobile applications for processin...
-
Chapter and Conference Paper
Distinguishing Specific and Daily Topics
The task of distinguishing specific and daily topics is useful in many applications such as event chronicle and timeline generation, and cross-document event coreference resolution. In this paper, we investiga...
-
Chapter and Conference Paper
AILabel: A Fast Interval Labeling Approach for Reachability Query on Very Large Graphs
Recently, reachability queries on large graphs have attracted much attention. Many state-of-the-art approaches leverage spanning tree to construct indexes. However, almost all of these work require indexes and...
-
Chapter and Conference Paper
Refreshment Strategies for the Shortest Path Caching Problem with Changing Edge Weight
The problem of caching shortest paths which aims at reducing the computational time of servers has been widely studied. All the existing methods addressing this problem assume that the graph status does not ch...
-
Chapter and Conference Paper
Query Authentication over Cloud Data from Multiple Contributors
As data stored in the cloud may encounter the malicious attack from the cloud service provider (CSP), to ensure data authenticity and integrity, it is necessary to authenticate the query results from CSP. Howe...
-
Chapter and Conference Paper
Discovering Condition-Combined Functional Dependency Rules
Conditional functional dependency (CFD) on a relation schema is an important technique of data consistency analysis. However, huge number of CFD rules will lead to lower the efficiency of data cleaning. Thus, ...
-
Chapter and Conference Paper
Deconvolution Algorithm in the Retrieval of Raindrop Size Distribution from a VHF Profiling Radar
The nonuniformity of atmospheric vertical movement broadens the returning signal spectrum of precipitation, and thus affects the retrieval of raindrop size distribution using profiling radar. The effect of the...
-
Chapter and Conference Paper
Design of Nonuniform Quantizer in Satellite Navigation Receivers
Based on the correlation properties of the pseudo-random code in spread spectrum receivers, a novel and unified quantizer model was established, which was suitable for both uniform and nonuniform quantization....
-
Chapter and Conference Paper
Simplified Skeleton Model Based Hand Gesture Recognition
There are two ways for 2D graphics recognition in general, which are contour curve description method and graphical Skeleton description method. Graphical Skeleton achieves recognition purpose by analyzing the...