Combining Linear Dichomotizers to Construct Nonlinear Polychotomizers
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Error-Correcting Output Codes (ECOC) with subclasses reveal a common way to solve multi-class classification problems. According to this approach, a multiclass problem is decomposed into several binary ones based on the maximization of the mutual informati ...
Various direct-ambient signal decompositions, applicable to two-channel stereophonic signals, have been proposed previously. Strategies to enhance these decompositions for multi-channel surround audio signals are not obvious. A method is proposed, which es ...
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Rationalization and construction-aware design dominate the issue of realizability of freeform architecture. The former means the decomposition of an intended shape into parts which are sufficiently simple and efficient to manufacture; the latter refers to ...
This work shows how to develop distributed versions of block blind estimation techniques that have been proposed before for batch processing. Using diffusion adaptation techniques, data are accumulated at the nodes to form estimates of the auto-correlation ...
Error-Correcting Output Codes (ECOC) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is decomposed into several binary ones. Additionally, on the ECOC framework we can ap ...
This paper joins a series of papers dealing with high-speed power system emulators. It clarifies the last details about the system level of the AC emulation approach by analyzing and quantifying the systematic errors introduced during modeling. Thereby a n ...
Error-Correcting Output Codes (ECOCs) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is decomposed into several binary ones. Additionally, on the ECOC framework we can a ...
We investigate a multilayer perceptron (MLP) based hierarchical approach for task adaptation in automatic speech recognition. The system consists of two MLP classifiers in tandem. A well-trained MLP available off-the-shelf is used at the first stage of the ...
This paper presents implementation and performance of QR Decomposition based Recursive Least-Squares (QRD-RLS) for interference mitigation in Wideband CDMA (WCDMA). The implementation is carried on CORSAEngine which is a new Software-Defined Radio (SDR) pro ...
The QR decomposition is an important, but often underestimated prerequisite for pseudo- or non-linear detection methods such as successive interference cancellation or sphere decoding for multiple-input multiple-output (MIMO) systems. The ability of concur ...
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