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Jeffrey Scott Hoekman

age ~55

from Folly Beach, SC

Also known as:
  • Jeffrey S Hoekman
  • Jeffrey S Koekman
  • Jeff S Hoekman
  • Valerie Mullins

Jeffrey Hoekman Phones & Addresses

  • Folly Beach, SC
  • Charleston, SC
  • Kirkland, WA
  • Palo Alto, CA
  • Grand Rapids, MI
  • Kiona, WA
  • Boulder, CO

Work

  • Company:
    Dsb consulting
    Jul 2012 to Sep 2012
  • Address:
    Remote
  • Position:
    Software consultant

Education

  • Degree:
    Masters MST
  • School / High School:
    Stanford University
    1996 to 1997
  • Specialities:
    Music Science

Skills

Java • C++ • C • Matlab • Mac OS X • XP • Linux • Windows Server • Windows 7 • Windows Vista • Digital Filters • Algorithms • Machine Learning • Data Mining • Software Engineering • Python • Agile Methodologies • Software Design • REST • Semantic Web • Software Development • Ontology Engineering • OWL • RDF • Digital Audio • Audio Engineering • Digital Signal Processing • Solr • MongoDB • SPARQL • MIDI • Object Oriented Design • Hadoop

Industries

Computer Software

Resumes

Jeffrey Hoekman Photo 1

Software Consultant

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Location:
Charleston, South Carolina Area
Industry:
Computer Software
Work:
DSB Consulting - Remote Jul 2012 - Sep 2012
Software Consultant

Benefitfocus - Charleston, South Carolina Area Mar 2010 - Jun 2012
Senior Software Engineer

BeliefNetworks - Charleston, South Carolina Area Apr 2008 - Mar 2010
Software Engineer

Microsoft 2000 - 2007
Software Engineer

MongoMusic, Inc. 2000 - 2001
Audio DSP Software Engineer
Education:
Stanford University 1996 - 1997
Masters MST, Music Science
University of Michigan 1987 - 1992
BSCE, Computer Engineering
Skills:
Java
C++
C
Matlab
Mac OS X
XP
Linux
Windows Server
Windows 7
Windows Vista
Digital Filters
Algorithms
Machine Learning
Data Mining
Software Engineering
Python
Agile Methodologies
Software Design
REST
Semantic Web
Software Development
Ontology Engineering
OWL
RDF
Digital Audio
Audio Engineering
Digital Signal Processing
Solr
MongoDB
SPARQL
MIDI
Object Oriented Design
Hadoop

Us Patents

  • System And Methods For Providing Automatic Classification Of Media Entities According To Melodic Movement Properties

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  • US Patent:
    7065416, Jun 20, 2006
  • Filed:
    Aug 29, 2001
  • Appl. No.:
    09/942509
  • Inventors:
    Christopher B. Weare - Bellevue WA, US
    Jeffrey S. Hoekman - Kirkland WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/00
    H04R 29/00
    G10H 7/00
    G10H 5/00
  • US Classification:
    700 94, 381 58, 84616, 84654
  • Abstract:
    In connection with a classification system for classifying media entities that merges perceptual classification techniques and digital signal processing classification techniques for improved classification of media entities, a system and methods are provided for automatically classifying and characterizing melodic movement properties of media entities. Such a system and methods may be useful for the indexing of a database or other storage collection of media entities, such as media entities that are audio files, or have portions that are audio files. The methods also help to determine media entities that have similar, or dissimilar as a request may indicate, melodic movement by utilizing classification chain techniques that test distances between media entities in terms of their properties. For example, a neighborhood of songs may be determined within which each song has similar melodic movement properties.
  • Synchronization With Hardware Utilizing Software Clock Slaving Via A Clock

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  • US Patent:
    7434078, Oct 7, 2008
  • Filed:
    Mar 21, 2003
  • Appl. No.:
    10/394966
  • Inventors:
    Steven E. Swenson - Redmond WA, US
    Jeffrey S. Hoekman - Kirkland WA, US
    Joseph C. Ballantyne - Redmond WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 1/04
    G06F 1/12
    G06F 13/42
    H04L 5/00
  • US Classification:
    713400, 713401, 713500, 713501, 713502, 713503
  • Abstract:
    A sample rate converter (SRC) is used to slave hardware devices to a master hardware device. A clock manager registers the time at each clock of each device, communicates with memory that stores the clock times, and reports correlations between each clock time and the time at a reference clock. The processing of a data stream can be slaved to one or more hardware devices. The processing of a wake up period can be slaved to the clock of the master hardware device by adjusting the wakeup period. Slaving of hardware devices to the master hardware device can also be accomplished by finding a correlation between the clock times in memory and the reference clock. Each correlation can be input into an SRC corresponding to each slave hardware device. Each SRC can then generate or consume a data stream at the actual rate of the corresponding slave hardware device.
  • System And Methods For Providing Automatic Classification Of Media Entities According To Melodic Movement Properties

    view source
  • US Patent:
    7574276, Aug 11, 2009
  • Filed:
    Dec 21, 2005
  • Appl. No.:
    11/316047
  • Inventors:
    Christopher B. Weare - Bellevue WA, US
    Jeffrey S. Hoekman - Kirkland WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/00
  • US Classification:
    700 94
  • Abstract:
    In connection with a classification system for classifying media entities that merges perceptual classification techniques and digital signal processing classification techniques for improved classification of media entities, a system and methods are provided for automatically classifying and characterizing melodic movement properties of media entities. Such a system and methods may be useful for the indexing of a database or other storage collection of media entities, such as media entities that are audio files, or have portions that are audio files. The methods also help to determine media entities that have similar, or dissimilar as a request may indicate, melodic movement by utilizing classification chain techniques that test distances between media entities in terms of their properties. For example, a neighborhood of songs may be determined within which each song has similar melodic movement properties.
  • System And Methods For Providing Automatic Classification Of Media Entities According To Consonance Properties

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  • US Patent:
    7756874, Jul 13, 2010
  • Filed:
    Nov 12, 2004
  • Appl. No.:
    10/986975
  • Inventors:
    Jeffrey S. Hoekman - Kirkland WA, US
    Christopher B. Weare - Bellevue WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 7/00
  • US Classification:
    707737, 707748, 707776, 84609
  • Abstract:
    In connection with a classification system for classifying media entities that merges perceptual classification techniques and digital signal processing classification techniques for improved classification of media entities, a system and methods are provided for automatically classifying and characterizing musical consonance properties of media entities. Such a system and methods may be useful for the indexing of a database or other storage collection of media entities, such as media entities that are audio files, or have portions that are audio files. The methods also help to determine media entities that have similar consonance by utilizing classification chain techniques that test distances between media entities in terms of their properties. For example, a neighborhood of songs may be determined within which each song has a similar consonance.
  • System And Methods For Providing Automatic Classification Of Media Entities According To Consonance Properties

    view source
  • US Patent:
    20020087565, Jul 4, 2002
  • Filed:
    Jul 6, 2001
  • Appl. No.:
    09/900059
  • Inventors:
    Jeffrey Hoekman - Kirkland WA, US
    Christopher Weare - Bellevue WA, US
  • International Classification:
    G06F007/00
  • US Classification:
    707/100000
  • Abstract:
    In connection with a classification system for classifying media entities that merges perceptual classification techniques and digital signal processing classification techniques for improved classification of media entities, a system and methods are provided for automatically classifying and characterizing musical consonance properties of media entities. Such a system and methods may be useful for the indexing of a database or other storage collection of media entities, such as media entities that are audio files, or have portions that are audio files. The methods also help to determine media entities that have similar consonance by utilizing classification chain techniques that test distances between media entities in terms of their properties. For example, a neighborhood of songs may be determined within which each song has a similar consonance.
  • Automatic Classification Of Media Entities According To Melodic Movement Properties

    view source
  • US Patent:
    20060111801, May 25, 2006
  • Filed:
    Jan 3, 2006
  • Appl. No.:
    11/324828
  • Inventors:
    Christopher Weare - Bellevue WA, US
    Jeffrey Hoekman - Kirkland WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/00
  • US Classification:
    700094000
  • Abstract:
    In connection with a classification system for classifying media entities that merges perceptual classification techniques and digital signal processing classification techniques for improved classification of media entities, a system and methods are provided for automatically classifying and characterizing melodic movement properties of media entities. Such a system and methods may be useful for the indexing of a database or other storage collection of media entities, such as media entities that are audio files, or have portions that are audio files. The methods also help to determine media entities that have similar, or dissimilar as a request may indicate, melodic movement by utilizing classification chain techniques that test distances between media entities in terms of their properties. For example, a neighborhood of songs may be determined within which each song has similar melodic movement properties.
  • System And Method For Dynamic Document Matching And Merging

    view source
  • US Patent:
    20190074072, Mar 7, 2019
  • Filed:
    Nov 5, 2018
  • Appl. No.:
    16/181082
  • Inventors:
    - San Mateo CA, US
    Jeffrey Scott HOEKMAN - San Mateo CA, US
    Colin Erik ALSTAD - San Mateo CA, US
    Theodore Calhoun TANNER - San Mateo CA, US
  • International Classification:
    G16H 10/60
    G06Q 50/22
    G06F 17/30
    G06F 7/06
  • Abstract:
    A system and method for matching and merging documents from disparate data sources into a single data store for a particular entity are provided. The system and method may be particularly useful for a healthcare system to match and merge data from disparate data sources about a healthcare provider.
  • System And Method For Dynamic Document Matching And Merging

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  • US Patent:
    20150205846, Jul 23, 2015
  • Filed:
    Aug 22, 2014
  • Appl. No.:
    14/466909
  • Inventors:
    - San Mateo CA, US
    Jeffrey Scott HOEKMAN - San Mateo CA, US
    Colin Erik ALSTAD - San Mateo CA, US
  • International Classification:
    G06F 17/30
    G06F 19/00
  • Abstract:
    A system and method for matching and merging documents from disparate data sources into a single data store for a particular entity are provided. The system and method may be particularly useful for a healthcare system to match and merge data from disparate data sources about a healthcare provider.

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Jeffrey Hoekman

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