Invention Grant
US09411916B2 Distributed approach for feature modeling using principal component analysis
有权
使用主成分分析进行特征建模的分布式方法
- Patent Title: Distributed approach for feature modeling using principal component analysis
- Patent Title (中): 使用主成分分析进行特征建模的分布式方法
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Application No.: US14165092Application Date: 2014-01-27
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Publication No.: US09411916B2Publication Date: 2016-08-09
- Inventor: Javier Cruz Mota , Jean-Philippe Vasseur , Andrea Di Pietro
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Parker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06N5/02 ; G06F17/50

Abstract:
In one embodiment, techniques are shown and described relating to a distributed approach for feature modeling on an LLN using principal component analysis. In one specific embodiment, a computer network has a plurality of nodes and a router. The router is configured to select one or more nodes of the plurality of nodes that will collaborate with the router for collectively computing a model of respective features for input to a Principal Component Analysis (PCA) model. In addition, the selected one or more nodes and the router are configured to perform a distributed computation of a PCA model between the router and the selected one or more nodes.
Public/Granted literature
- US20150186775A1 DISTRIBUTED APPROACH FOR FEATURE MODELING USING PRINCIPAL COMPONENT ANALYSIS Public/Granted day:2015-07-02
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