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Robert Martin Haralick

from Rio Rancho, NM
Age ~81
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Also known as:
Robert M Haralick, Robert M Harlick, Robert M Shapiro, Rob Haralick
Related to:
Jason L Rucshner, 48Alexander Rucshner, 46Tsaiyun PhillipsJennifer Rucshner, 51
Connected to:
Barbara A Haralson, 66Bart H Haralson, 36Cristina Haralson, 53Dacia L Haralson, 45Danny D Haralson, 60Earl D Haralson, 71Hal H Haralson, 89Jasmine S Haralson, 29Jeanne L Haralson, 64Jewel Haralson, 82

Robert Haralick Phones & Addresses

  • Rio Rancho, NM
  • Brooklyn, NY
  • Sun City, AZ
  • 27 Tara Dr, Pomona, NY 10970 (845) 354-1864
  • Seattle, WA
  • Hewlett, NY
  • Sun, AZ
  • Maricopa, AZ

Work

Company: City university of new york graduate center Jul 2013 Position: Distinguished professor and executive officer of the cs phd program

Education

Degree: Master of Science, Doctorates, Bachelors, Masters, Doctor of Philosophy, Bachelor of Arts, Bachelor of Science School / High School: The University of Kansas 1960 to 1969 Specialities: Mathematics, Computer Science, Electrical Engineering

Skills

Machine Learning • Algorithms • Statistics • Matlab • Data Mining • Computer Vision • Computer Science • Image Processing • Mathematical Modeling • Artificial Intelligence • Bioinformatics • Latex • Programming • R • C++ • University Teaching • Mathematica • Research • Teaching • Signal Processing • Natural Language Processing • Algorithm Design • Weka

Industries

Research

Resumes

Resumes

Robert Haralick Photo 1

Distinguished Professor And Executive Officer Of The

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Location:
1500 Ocean Pkwy, Brooklyn, NY 11230
Industry:
Research
Work:
City University of New York Graduate Center
Distinguished Professor and Executive Officer of the Cs Phd Program
University of Washington Sep 1986 - Aug 2000
Boeing Clairmont Egtvedt Professor
Virginia Tech Sep 1979 - Jun 1984
Professor
Sep 1979 - Jun 1984
Distinguished Professor and Executive Officer of the
Education:
The University of Kansas 1960 - 1969
Master of Science, Doctorates, Bachelors, Masters, Doctor of Philosophy, Bachelor of Arts, Bachelor of Science, Mathematics, Computer Science, Electrical Engineering
Skills:
Machine Learning
Algorithms
Statistics
Matlab
Data Mining
Computer Vision
Computer Science
Image Processing
Mathematical Modeling
Artificial Intelligence
Bioinformatics
Latex
Programming
R
C++
University Teaching
Mathematica
Research
Teaching
Signal Processing
Natural Language Processing
Algorithm Design
Weka

Publications

Wikipedia

Robert Haralick

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Robert M. Haralick was born in Brooklyn, New York, on September 30, 1943. Contents. 1 Academia; 2 Contributions; 3 See also; 4 External links; 5 References ...

Wikipedia References

Robert Haralick Photo 2

Robert Haralick

Isbn (Books And Publications)

Mathematical Morphology: Theory and Hardware

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Author

Robert M. Haralick

ISBN #

0195081870

Computer and Robot Vision

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Author

Robert M. Haralick

ISBN #

0201108771

Computer and Robot Vision

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Author

Robert M. Haralick

ISBN #

0201569434

Digital Image Processing: Proceedings

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Author

Robert M. Haralick

ISBN #

9027713294

Us Patents

Multiprocessor System With Write Generate Method For Updating Cache

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US Patent:
55242120, Jun 4, 1996
Filed:
Apr 27, 1992
Appl. No.:
7/876775
Inventors:
Arun K. Somani - Woodinville WA
Craig M. Wittenbrink - Seattle WA
Chung-Ho Chen - Seattle WA
Robert E. Johnson - Seattle WA
Kenneth H. Cooper - Marysville WA
Robert M. Haralick - Seattle WA
Assignee:
University of Washington - Seattle WA
International Classification:
G06F 15167
G06F 1517
US Classification:
39520008
Abstract:
A plurality of program processors, shared memory, dual port memory, external cache memory and a control processor form a multiprocessor system. A shared memory bus links the program processors, shared memory, dual port memory and external cache memory. Program processor I/O occurs through a pair of serial I/O channels coupled to one port of the dual port memory. A write generate mode is implemented for updating cache by first allocating lines of shared memory as write before read areas. For such lines, cache tags are updated directly on cache misses without reading from memory. A hit is forced for such line, resulting in valid data at the updated part and invalid data at the remaining portion. Thus, part of the line is written to and the rest invalidated. The invalid portions are not read, unless preceded by a write operation.

Automated Delineation Of Heart Contours From Images Using Reconstruction-Based Modeling

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US Patent:
61064661, Aug 22, 2000
Filed:
Apr 24, 1998
Appl. No.:
9/066188
Inventors:
Florence H. Sheehan - Mercer Island WA
Robert M. Haralick - Seattle WA
Paul D. Sampson - Seattle WA
Assignee:
University of Washington - Seattle WA
International Classification:
A61B 800
US Classification:
600443
Abstract:
A method for defining a three-dimensional surface of at least a portion of a patient's heart, based on data obtained by ultrasound imaging of the heart. The imaging is carried out over at least one cardiac cycle and provides a plurality of images in different image planes made with an ultrasound transducer at known positions and orientations. At least three anatomical landmarks in these images are manually identified in each of the images. An ultrasound mesh model in which a three-dimensional abstract mesh defining an archetype shape for a population of other hearts is developed. This abstract mesh has associated with it a covariance that defines the extent of variation of control vertices in the mesh for the population of training data used to derive the mesh model. The mesh model is rigidly aligned with the images of the patient's heart. Predicted images in planes corresponding to those of the images for the patient's heart and derived from the mesh model are compared corresponding images of the patient's heart.

Method For Determining The Contour Of An In Vivo Organ Using Multiple Image Frames Of The Organ

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US Patent:
55704301, Oct 29, 1996
Filed:
May 31, 1994
Appl. No.:
8/251733
Inventors:
Florence H. Sheehan - Mercer Island WA
Robert M. Haralick - Seattle WA
Chang-Kyu Lee - Seattle WA
Assignee:
University of Washington - Seattle WA
International Classification:
G06K 900
US Classification:
382128
Abstract:
A method for automatically evaluating image data taking over a sequence of image frames to determine a contour of a left ventricle (LV). The sequence of image frames are converted to digital data that identify a gray scale value for each pixel in each image frame. Using probability, an initial LV region is estimated based upon previously determined a priori parameters that are derived from processing manually drawn contours of the LV in other hearts, for the sequence of image frames being analyzed. The initial estimate of the LV region is refined using motion constraints, which are also derived from training data determined from the manually-drawn contours of other hearts. An LV region is estimated and its coordinates are extracted for use in applying global shape constraints that provide a more accurate LV boundary estimate for the region around an apex of the left ventricle. Finally, the estimated LV boundary estimate is tested for consistency, yielding an accepted estimate, or warning that the estimate is unreliable. The resulting automatically determined contours of each image frame can be displayed almost immediately after the image data are produced so that a physician can more readily diagnose physiological defects of the heart.

Method For Determining The Contour Of An In Vivo Organ Using Multiple Image Frames Of The Organ

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US Patent:
57347395, Mar 31, 1998
Filed:
Aug 26, 1996
Appl. No.:
8/704016
Inventors:
Florence H. Sheehan - Mercer Island WA
Robert M. Haralick - Seattle WA
Jasjit Suri - Seattle WA
Yong Shao - Seattle WA
Assignee:
University of Washington - Seattle WA
International Classification:
G06K 900
US Classification:
382128
Abstract:
An automated method for evaluating image data taken over a sequence of image frames to determine a contour of a left ventricle (LV). The sequence of image frames are converted to digital data that identify a gray scale value for each pixel in each image frame. An initial LV region is estimated based upon training data parameters derived from processing manually drawn contours of the LV in the hearts of other individuals, corresponding to the sequence of image frames being analyzed. Prior to producing the initial estimate, the location of the aortic valve in the sequence of image frames for the patient is determined to serve as a reference. The data derived frown the contours of the LVs for the other hearts are rotated and translated relative to this reference to insure that the training data information corresponds to the position and orientation of the LV being analyzed. In addition, the effects of tissue mass comprising a diaphragm adjacent to the inferior portion of the LV are compensated by masking out the diaphragm. Uncertainty of the contour of the LV in this portion due to the presence of the diaphragm is thereby minimized.
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Robert Martin Haralick from Rio Rancho, NM, age ~81 Get Report