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نمایش تعداد 1-8 از 8

[Title page]

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Sparse Bayesian Extreme Learning Machine for Multi-classification

نوع: Journal Paper

نویسنده : Jiahua Luo; Chi-Man Vong; Pak-Kin Wong

ناشر: IEEE

سال: 2014

A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Application of control-oriented modeling methodology to turbocharged SI engine system development

نوع: Conference Paper

نویسنده : Yu Guang , Suzuki, K.

ناشر: IEEE

سال: 2014

High level high performance computing for multitask learning of time-varying models

نوع: Conference Paper

نویسنده : Signoretto, M.; Frandi, E.; Karevan, Z.; Suykens, J.A.K.

ناشر: IEEE

سال: 2014

FedLoop: Looping on Federated MapReduce

نوع: Conference Paper

نویسنده : Chun-Yu Wang; Tzu-Li Tai; Kuan-Chieh Huang; Tse-En Liu; Jyh-Biau Chang; Ce-Kuen Shieh

ناشر: IEEE

سال: 2014

Sliding-mode observer based synchronization of interconnected heterogeneous systems with measurement uncertainty

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Sparse Extreme Learning Machine for Classification

نوع: Journal Paper

نویسنده : Zuo Bai; Guang-Bin Huang; Danwei Wang; Han Wang; Westover, M. Brandon

ناشر: IEEE

سال: 2014

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[Title page]

Sparse Bayesian Extreme Learning Machine for Multi-classification

A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution

Application of control-oriented modeling methodology to turbocharged SI engine system development

High level high performance computing for multitask learning of time-varying models

FedLoop: Looping on Federated MapReduce

Sliding-mode observer based synchronization of interconnected heterogeneous systems with measurement uncertainty

Sparse Extreme Learning Machine for Classification

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[Title page]

Sparse Bayesian Extreme Learning Machine for Multi-classification

A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution

Application of control-oriented modeling methodology to turbocharged SI engine system development

High level high performance computing for multitask learning of time-varying models

FedLoop: Looping on Federated MapReduce

Sliding-mode observer based synchronization of interconnected heterogeneous systems with measurement uncertainty

Sparse Extreme Learning Machine for Classification