MICHAEL A JONES
Broker in Cambridge, MA
License number
Massachusetts 9026928
Issued Date
Jul 9, 1998
Expiration Date
Jun 19, 2001
Type
Salesperson
Address
Address
Cambridge, MA 02140
Professional information
Senior Campaign Director, Change.org
Position:
Senior Campaign Director at Change.org
Location:
Greater Boston Area
Industry:
Online Media
Work:
Change.org
- Boston, MA since Jul 2013
-
Senior Campaign Director
Change.org
- Boston, MA Aug 2012 - Jul 2013
-
Campaign Director
Change.org
- Boston, MA Feb 2012 - Aug 2012
-
Deputy Campaign Director and Communications Manager
New Profit Inc.
- Cambridge, MA Apr 2011 - Nov 2011
-
Senior Communications Manager
Change.org
- Boston, MA Jul 2008 - Apr 2011
-
Editor, Gay Rights
Harvard Law School
- Cambridge, MA Aug 2006 - Nov 2009
-
Communications Director, Harvard Law School Human Rights Program
Pax Christi USA
- Erie, PA Aug 2004 - Jul 2006
-
Communications Director
Pax Christi USA
- Erie, PA Oct 2002 - Aug 2004
-
Communications Associate
Wellstone for Senate
- Minneapolis, MN May 2002 - Oct 2002
-
Field Organizer
Education:
Syracuse University 2001 - 2002
Master's degree, Communication, Journalism, and Related Programs
Master's degree, Communication, Journalism, and Related Programs
Michael T Jones 2 - Cambridge, MA
Work:
securamerica and lincoln management
Receptionist/Security McRoberts protective agency
Special Security Officer Judge Rotenburg Center - Canton, MA
Mental Health Assistant Shaw's Supermarket - Cambridge, MA
Cashier Customer Service
Receptionist/Security McRoberts protective agency
Special Security Officer Judge Rotenburg Center - Canton, MA
Mental Health Assistant Shaw's Supermarket - Cambridge, MA
Cashier Customer Service
Skills:
Thorough knowledge of principles, practices, and methods of office procedures including records management and documentation. conduct daily audits plus hourly time sheets. Maintained book keeping records, adjusting them, reconciling, posting, computing and balancing figures to assure accurate record keeping. Proficient in Microsoft software and accounting software such as QuickBooks, intuit, and ADP.
Object Recognition System
US Patent:
7031499, Apr 18, 2006
Filed:
Jul 22, 2002
Appl. No.:
10/200726
Inventors:
Paul A. Viola - Brookline MA, US
Michael J. Jones - Cambridge MA, US
Michael J. Jones - Cambridge MA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
G06K 9/00, G06K 9/62
US Classification:
382118, 382190, 382209
Abstract:
A method recognizes an object in an image. Gallery images include identified objects, and a probe image includes an unidentified object. The probe image is paired with each gallery image to generate pairs of images. First filters are applied to the probe image of each pair to obtain a first feature value for each application of each filter. Second filters are applied to the each gallery image of each pair to obtain a second feature value for each application of each filter. The feature values are summed for each application of each filter, and for each application, a score is set to an acceptance weight if the sum is greater than a predetermined threshold, and otherwise setting the score to a rejection weight. The scores are summed for all of the application, and the probe image is identified with any gallery image when the score is greater than zero.
Image Compression By Pointwise Prototype Correspondence Using Shape And Texture Information
US Patent:
5844573, Dec 1, 1998
Filed:
Aug 2, 1996
Appl. No.:
8/691550
Inventors:
Tomaso Poggio - Wellesley MA
David Beymer - Cambridge MA
Michael Jones - Cambridge MA
Thomas Vetter - Tubingen, DE
David Beymer - Cambridge MA
Michael Jones - Cambridge MA
Thomas Vetter - Tubingen, DE
Assignee:
Massachusetts Institute of Technology - Cambridge MA
International Classification:
G06T 500
US Classification:
345441
Abstract:
An image processing system (100) analyzes novel images in one of three modes. In a first mode, the system learns a model based on vectorized prototype images, and uses the model to characterize the shape of a novel image as a pixel-by-pixel linear combination of the prototype shapes. In a second mode, both shape and texture vectors are used to characterize the novel image as a linear combination of the prototypes. In a third mode, shape information is modeled by a linear combination of prototypes and texture information is modeled by an optical flow, and processing of shape and texture information is interleaved. Novel images are synthesized by analysis of input images using transformed prototypes. Image compression is achieved by storing or transmitting parameter vectors relating the novel or applied images to the prototypes.
Method And System For Object Detection In Digital Images
US Patent:
7099510, Aug 29, 2006
Filed:
Nov 12, 2001
Appl. No.:
09/992795
Inventors:
Michael J. Jones - Cambridge MA, US
Paul Viola - Brookline MA, US
Paul Viola - Brookline MA, US
Assignee:
Hewlett-Packard Development Company, L.P. - Houston TX
International Classification:
G06K 9/62
US Classification:
382225, 348142, 348152, 382118, 382159, 382203
Abstract:
An object detection system for detecting instances of an object in a digital image includes an image integrator and an object detector, which includes a classifier (classification function) and image scanner. The image integrator receives an input image and calculates an integral image representation of the input image. The image scanner scans the image in same sized subwindows. The object detector uses a cascade of homogenous classification functions or classifiers to classify the subwindows as to whether each subwindow is likely to contain an instance of the object. Each classifier evaluates one or more features of the object to determine the presence of such features in a subwindow that would indicate the likelihood of an instance of the object in the subwindow.
Detecting Arbitrarily Oriented Objects In Images
US Patent:
7197186, Mar 27, 2007
Filed:
Jun 17, 2003
Appl. No.:
10/463726
Inventors:
Michael J. Jones - Cambridge MA, US
Paul A. Viola - Kirkland WA, US
Paul A. Viola - Kirkland WA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
G06K 9/62
US Classification:
382224
Abstract:
A method for detects a specific object in an image. An orientation of an arbitrary object with respect to an image plane is determined and one of a plurality orientation and object specific classifiers is selected according to the orientation. The arbitrary object is classified as a specific object with the selected orientation and object specific classifier.
System And Method For Detecting Objects In Images
US Patent:
7020337, Mar 28, 2006
Filed:
Jul 22, 2002
Appl. No.:
10/200464
Inventors:
Paul A. Viola - Brookline MA, US
Michael J. Jones - Cambridge MA, US
Michael J. Jones - Cambridge MA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
G06K 9/62, G06K 9/00
US Classification:
382224, 382118, 382190, 382195, 706 20
Abstract:
A method detects an object, such a face, in an image. The image is first partitioned into patches of various sizes using either an integral image or a Gaussian pyramid. Features in each patch are evaluated to determine a cumulative score. The evaluating is repeated while the cumulative score is within a range of an acceptance threshold and a rejection threshold, and otherwise the image is rejected when the accumulated score is less than the rejection threshold and accepted as including the object when the cumulative score is greater than the acceptance threshold.
Image Analysis And Synthesis Networks Using Shape And Texture Information
US Patent:
5774129, Jun 30, 1998
Filed:
Jun 7, 1995
Appl. No.:
8/486637
Inventors:
Tomaso Poggio - Wellesley MA
David Beymer - Cambridge MA
Michael Jones - Cambridge MA
Thomas Vetter - Tubingen, DE
David Beymer - Cambridge MA
Michael Jones - Cambridge MA
Thomas Vetter - Tubingen, DE
Assignee:
Massachusetts Institute of Technology - Cambridge MA
International Classification:
G06F 1500
US Classification:
345441
Abstract:
An image processing system (100) analyzes novel images in one of three modes. In a first mode, the system learns a model based on prototype images, and uses the model to characterize the shape of a novel image as a pixel-by-pixel linear combination of the prototypes. In a second mode, both shape and texture are used to characterize the novel image as a linear combination of the prototypes. In a third mode, shape information is modeled by a linear combination of prototypes and texture information is modeled by an optical flow, and processing of shape and texture information is interleaved. Novel images are synthesized by analysis of input images using transformed prototypes.
Detecting Pedestrians Using Patterns Of Motion And Appearance In Videos
US Patent:
7212651, May 1, 2007
Filed:
Jun 17, 2003
Appl. No.:
10/463800
Inventors:
Paul A. Viola - Kirkland WA, US
Michael J. Jones - Cambridge MA, US
Michael J. Jones - Cambridge MA, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
A method detects a moving object in a temporal sequence of images. Images are selected from the temporally ordered sequence of images. A set of functions is applied to the selected images to generate a set of combined images. A linear combination of filters is applied to a detection window in the set of combined images to determine motion and appearance features of the detection window. The motion and appearance features are summed to determine a cumulative score, which enables a classification of the detection window as including the moving object.