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» Using multiple ontologies in information extraction
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ICASSP
2008
IEEE
15 years 4 months ago
Single-channel speech separation based on modulation frequency
This paper describes an algorithm that performs a simple form of computational auditory scene analysis to separate multiple speech signals from one another on the basis of the mod...
Lingyun Gu, Richard M. Stern
NPL
2006
85views more  NPL 2006»
14 years 9 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
ISCI
2007
142views more  ISCI 2007»
14 years 9 months ago
Semantic passage segmentation based on sentence topics for question answering
We propose a semantic passage segmentation method for a Question Answering (QA) system. We define a semantic passage as sentences grouped by semantic coherence, determined by the...
Hyo-Jung Oh, Sung-Hyon Myaeng, Myung-Gil Jang
ACMICEC
2004
ACM
171views ECommerce» more  ACMICEC 2004»
15 years 3 months ago
Efficient integration of web services with distributed data flow and active mediation
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs markedly from centralized information flow adopted b...
David Liu, Jun Peng, Kincho H. Law, Gio Wiederhold
SIGIR
2012
ACM
13 years 3 days ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin