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WWW
2004
ACM
14 years 10 months ago
Ontological representation of learning objects: building interoperable vocabulary and structures
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Jian Qin, Naybell Hernández
ICCV
2011
IEEE
12 years 9 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
ICASSP
2011
IEEE
13 years 1 months ago
Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition
This paper addresses a noise suppression problem, namely the estimation of non-stationary noise sequences. In this problem, we assume that non-stationary noise can be decomposed i...
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakat...
QSIC
2007
IEEE
14 years 4 months ago
An Incremental and FCA-Based Ontology Construction Method for Semantics-Based Component Retrieval
In semantics-based component retrieval ontology is usually employed as the semantic basis for component representation and matching. Existing methods always assume that the ontolo...
Xin Peng, Wenyun Zhao
EUROMICRO
2006
IEEE
14 years 3 months ago
A Method for Component-Based Software and System Development
— We propose a method for component-based software and system development, where the interoperability between the different components is given special consideration. The method ...
Denis Hatebur, Maritta Heisel, Jeanine Souqui&egra...