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其他书籍 Design and VLSI implementation of a digital audio-specific DSP core for MP3_AAC
Design and VLSI implementation of a digital audio-specific DSP core for MP3_AAC
其他 Multi-label classification 和weka集成
Multi-label classification
和weka集成
通讯编程文档 With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow
With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main appli- cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common resear ...
matlab例程 It is about digital image processingand photomechanical printing2
It is about digital image processingand photomechanical printing2
单片机开发 Discription: This multi-master driver provides the software interface to the I2C Bus hardware of th
Discription: This multi-master driver provides the software interface to the
I2C Bus hardware of the M3062x series of MitsubishiMCU.
通讯编程文档 Multicast Algorithms for Multi-Channel Wireless Mesh Networks
Multicast Algorithms for Multi-Channel Wireless Mesh Networks
人工智能/神经网络 RBFMIP is a package for training multi-instance RBF neural networks
RBFMIP is a package for training multi-instance RBF neural networks
人工智能/神经网络 BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
人工智能/神经网络 CCE is a multi-instance learning method solving multi-instance problems through adapting multi-insta
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance represen ...
人工智能/神经网络 This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Den
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox