JP2016516235A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2016516235A5 JP2016516235A5 JP2016500307A JP2016500307A JP2016516235A5 JP 2016516235 A5 JP2016516235 A5 JP 2016516235A5 JP 2016500307 A JP2016500307 A JP 2016500307A JP 2016500307 A JP2016500307 A JP 2016500307A JP 2016516235 A5 JP2016516235 A5 JP 2016516235A5
- Authority
- JP
- Japan
- Prior art keywords
- granularity
- input
- context classification
- context
- level
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 235000019580 granularity Nutrition 0.000 claims 164
- 238000000034 method Methods 0.000 claims 23
- 239000002245 particle Substances 0.000 claims 12
- 238000004590 computer program Methods 0.000 claims 11
- 239000000203 mixture Substances 0.000 claims 4
- 230000004044 response Effects 0.000 claims 3
- 238000013145 classification model Methods 0.000 claims 2
- 238000013528 artificial neural network Methods 0.000 claims 1
- 230000007794 irritation Effects 0.000 claims 1
- 230000000284 resting effect Effects 0.000 claims 1
- 238000005096 rolling process Methods 0.000 claims 1
- 238000001228 spectrum Methods 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US13/835,596 US9679252B2 (en) | 2013-03-15 | 2013-03-15 | Application-controlled granularity for power-efficient classification |
| US13/835,596 | 2013-03-15 | ||
| PCT/US2014/017236 WO2014143515A1 (en) | 2013-03-15 | 2014-02-20 | Application-controlled granularity for power-efficient classification |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2016516235A JP2016516235A (ja) | 2016-06-02 |
| JP2016516235A5 true JP2016516235A5 (enExample) | 2017-12-07 |
| JP6410787B2 JP6410787B2 (ja) | 2018-10-24 |
Family
ID=50272726
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2016500307A Active JP6410787B2 (ja) | 2013-03-15 | 2014-02-20 | 電力効率のよい分類のためのアプリケーションによって制御される粒度 |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US9679252B2 (enExample) |
| EP (1) | EP2972657B1 (enExample) |
| JP (1) | JP6410787B2 (enExample) |
| KR (1) | KR101831230B1 (enExample) |
| CN (1) | CN105190474B (enExample) |
| BR (1) | BR112015023491A2 (enExample) |
| TW (1) | TWI533124B (enExample) |
| WO (1) | WO2014143515A1 (enExample) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10600007B2 (en) * | 2014-08-04 | 2020-03-24 | International Business Machines Corporation | Auto-analyzing spatial relationships in multi-scale spatial datasets for spatio-temporal prediction |
| US10552746B2 (en) | 2014-09-25 | 2020-02-04 | International Business Machines Corporation | Identification of time lagged indicators for events with a window period |
| US10678828B2 (en) * | 2016-01-03 | 2020-06-09 | Gracenote, Inc. | Model-based media classification service using sensed media noise characteristics |
| KR102706985B1 (ko) * | 2016-11-09 | 2024-09-13 | 삼성전자주식회사 | 인공 신경망의 연산 처리 경로 관리 방법 |
| JP6617744B2 (ja) * | 2017-04-05 | 2019-12-11 | トヨタ自動車株式会社 | 車両システム |
| JP7142420B2 (ja) * | 2017-07-10 | 2022-09-27 | キヤノン株式会社 | 画像処理装置、学習方法、学習済モデル、画像処理方法 |
| US11027743B1 (en) * | 2020-03-31 | 2021-06-08 | Secondmind Limited | Efficient computational inference using gaussian processes |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6115702A (en) | 1997-12-23 | 2000-09-05 | Hughes Electronics Corporation | Automatic determination of report granularity |
| US6594313B1 (en) | 1998-12-23 | 2003-07-15 | Intel Corporation | Increased video playback framerate in low bit-rate video applications |
| US20020138492A1 (en) * | 2001-03-07 | 2002-09-26 | David Kil | Data mining application with improved data mining algorithm selection |
| US7203635B2 (en) | 2002-06-27 | 2007-04-10 | Microsoft Corporation | Layered models for context awareness |
| US20060265712A1 (en) | 2005-05-18 | 2006-11-23 | Docomo Communications Laboratories Usa, Inc. | Methods for supporting intra-document parallelism in XSLT processing on devices with multiple processors |
| US7580974B2 (en) | 2006-02-16 | 2009-08-25 | Fortinet, Inc. | Systems and methods for content type classification |
| EP1939797A1 (en) * | 2006-12-23 | 2008-07-02 | NTT DoCoMo, Inc. | Method and apparatus for automatically determining a semantic classification of context data |
| US8010658B2 (en) | 2007-02-09 | 2011-08-30 | Raytheon Company | Information processing system for classifying and/or tracking an object |
| US20090195382A1 (en) * | 2008-01-31 | 2009-08-06 | Sensormatic Electronics Corporation | Video sensor and alarm system and method with object and event classification |
| WO2009104721A1 (ja) | 2008-02-21 | 2009-08-27 | 日本電気株式会社 | 携帯端末コンテキスト効率利用方法とシステム |
| US8412525B2 (en) | 2009-04-30 | 2013-04-02 | Microsoft Corporation | Noise robust speech classifier ensemble |
| KR101584058B1 (ko) * | 2009-08-07 | 2016-01-12 | 삼성전자주식회사 | 현재 상황에 적합한 사용 환경을 제공하는 휴대 단말기 및 이의 운용 방법 |
| US8228234B2 (en) | 2009-08-27 | 2012-07-24 | Hewlett-Packard Development Company, L.P. | Power saving system and method for mobile computing device |
| US20110225043A1 (en) | 2010-03-12 | 2011-09-15 | Yahoo! Inc. | Emotional targeting |
| US20110310005A1 (en) | 2010-06-17 | 2011-12-22 | Qualcomm Incorporated | Methods and apparatus for contactless gesture recognition |
| JP5495235B2 (ja) * | 2010-12-02 | 2014-05-21 | 株式会社日立製作所 | 監視対象者の行動を監視する装置及び方法 |
| US20120252490A1 (en) | 2011-04-04 | 2012-10-04 | Brian Hernacki | Location Discovery |
| CN102902349B (zh) * | 2012-11-08 | 2015-04-22 | 山东大学 | 一种通过触点动态采样技术降低嵌入式系统功耗的方法 |
-
2013
- 2013-03-15 US US13/835,596 patent/US9679252B2/en active Active
-
2014
- 2014-02-20 WO PCT/US2014/017236 patent/WO2014143515A1/en not_active Ceased
- 2014-02-20 EP EP14709810.7A patent/EP2972657B1/en active Active
- 2014-02-20 BR BR112015023491A patent/BR112015023491A2/pt not_active IP Right Cessation
- 2014-02-20 KR KR1020157027929A patent/KR101831230B1/ko active Active
- 2014-02-20 CN CN201480013410.8A patent/CN105190474B/zh active Active
- 2014-02-20 JP JP2016500307A patent/JP6410787B2/ja active Active
- 2014-03-10 TW TW103108226A patent/TWI533124B/zh active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2016516235A5 (enExample) | ||
| US12326796B2 (en) | Cloud infrastructure optimization | |
| Liu et al. | An adaptive prediction approach based on workload pattern discrimination in the cloud | |
| US11030012B2 (en) | Methods and apparatus for allocating a workload to an accelerator using machine learning | |
| US10051056B2 (en) | Resource planning method, system, and apparatus for cluster computing architecture | |
| CN112148468B (zh) | 一种资源调度方法、装置、电子设备及存储介质 | |
| JP2016538658A5 (enExample) | ||
| TW201929510A (zh) | 支援基於數據類型將數據流分組並儲存至雲端儲存文件中的系統和電腦可執行方法 | |
| KR20180077218A (ko) | 계산 그래프들 프로세싱 | |
| US10963309B2 (en) | Network interface controller-based scheduling of processing tasks in a distributed computing system | |
| CN107688493A (zh) | 训练深度神经网络的方法、装置及系统 | |
| JP2017511940A5 (enExample) | ||
| JP2012216191A5 (ja) | 周波数特徴を選択する方法およびシステム | |
| CN105607952B (zh) | 一种虚拟化资源的调度方法及装置 | |
| JP2012064204A5 (ja) | 情報処理装置、情報処理方法、識別装置およびプログラム | |
| CN114556366A (zh) | 用于实现可变精度神经网络的方法和系统 | |
| JP2018512086A5 (enExample) | ||
| KR102159953B1 (ko) | 딥러닝 모델을 통한 추론 서비스를 제공할 때, 적어도 하나의 프로세서의 성능을 제어하는 전자 장치 및 그의 동작 방법 | |
| CN106779272A (zh) | 一种风险预测方法和设备 | |
| JP2017524404A5 (enExample) | ||
| JP2015011365A (ja) | プロビジョニング装置、システム、プロビジョニング方法、および、プロビジョニングプログラム | |
| JP2007079854A5 (enExample) | ||
| EP3923208A1 (en) | Automated hardware resource optimization | |
| CN107491352B (zh) | 一种资源调度方法及装置 | |
| CN105139020B (zh) | 一种用户聚类方法及装置 |