Configuring networked classifiers in distributed and resource constrained stream processing systems

被引：0

作者：

Fu, F. ^{[2
]}

Turaga, D. S. ^{[1
]}

Verscheure, O. ^{[1
]}

van der Schaar, M. ^{[2
]}

Amini, L. ^{[1
]}

机构：

[1] TJ Watson Res Ctr, IBM, 19 Skyline Dr, Hawthorne, NY USA

[2] Univ Calif Los Angeles, Los Angeles, CA 90024 USA

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年

关键词：

resource constrained classification; multi-stage classification; distributed stream processing;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We design algorithms for optimally configuring, in terms of model complexity as well as operating point, a cascade of exclusive classifiers on distributed systems, given underlying resource constraints. Under rate-dependent constraints we design a Viterbi-like strategy to determine the optimal solution with significantly lower computational complexity than an exhaustive search. We illustrate the performance of this strategy on a cascade of classifiers for a speaker verification task, and highlight performance gains over using a single classifier.

引用

页码：1085 / +

页数：2

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