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Head Related Transfer Functions (HRTFs) are signal processing models that represent the modifications undergone by the acoustic signal as it interacts with the listener's body. HRTFs can be used to generate binaural sound as they contain all the information about the sound source's location. This paper describes a database of head-related transfer functions based on ear/head measurements measured...
We present a tool called BugFix that can assist developers in fixing program bugs. Our tool automatically analyzes the debugging situation at a statement and reports a prioritized list of relevant bug-fix suggestions that are likely to guide the developer to an appropriate fix at that statement. BugFix incorporates ideas from machine learning to automatically learn from new debugging situations and...
Data Mining and warehousing is very challenging and interesting field in Computer Science and Information Technology. This field is still in its infant stage and thus a limited documentation on Data Warehousing processes available. As we know that now a days the definition of Educational Institutions are going to be changed and they are now being taken into consideration as a business oriented Organizations...
In this paper, we propose a distributed model for massive scalability in net-VEs. Our model inherits concepts from distributed databases, where the application logic and transaction processing take place at the client machine. The key feature of our model is its novel transaction model, which exploits application semantics to reduce the number of messages needed to maintain consistency. Our proposed...
Mining sequential patterns in biological data has attracted a great deal of attention in the last couple of years. Biologists are interested in finding the frequent orderly arrangement of motifs that may be responsible for similar expression of a group of genes. The size of the output space can be greatly reduced if only the maximal frequent patterns are reported. In this paper we present maximal...
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