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Yuri B Owechko

from Newbury Park, CA
Age ~68
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Also known as:
Yuri S Owechko, Susan Owechko
Phone and address:
369 Mooncrest Ct, Thousand Oaks, CA 91320
(805) 498-3732
Related to:
Rick Shannon Reigler, 56Maurice J KrantStefan R Owechko, 32Susan B Owechko, 66Larisa M Owechko, 32Stefan R Owechko, 35
Connected to:
William H Owecke, 54Vanessa D Owei, 68Lynne S Oweida, 67Ahmed A Oweis, 49Danny A Oweis, 61Hania Y Oweis, 52Khaled Oweis, 37Elena Oweisi, 59Omar Z Oweiss, 44Michael C Owellen, 51

Yuri Owechko Phones & Addresses

  • 369 Mooncrest Ct, Newbury Park, CA 91320 (805) 498-3732
  • Thousand Oaks, CA
  • Canoga Park, CA
  • Malibu, CA
  • Alhambra, CA
  • 369 Mooncrest Ct, Newbury Park, CA 91320 (805) 660-0492

Work

Company: University of sourthern california 1978 to 1983 Position: Grad student

Education

Degree: Doctorates, Doctor of Philosophy School / High School: University of Southern California 1978 to 1983 Specialities: Electrical Engineering, Materials Science

Languages

German • Ukrainian

Emails

y***[email protected]

Industries

Research

Resumes

Resumes

Yuri Owechko Photo 1

Principal Research Scientist At Hrl Laboratories

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Location:
Newbury Park, CA
Industry:
Research
Work:
University of Sourthern California 1978 - 1983
Grad Student
Hrl Laboratories, Llc 1978 - 1983
Principal Research Scientist at Hrl Laboratories
Education:
University of Southern California 1978 - 1983
Doctorates, Doctor of Philosophy, Electrical Engineering, Materials Science Caltech 1974 - 1978
Bachelors, Bachelor of Science, Applied Physics Greeley Central High School
Languages:
German
Ukrainian

Publications

Us Patents

Method For Reducing Blocking Artifacts In Digital Images

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US Patent:
6393061, May 21, 2002
Filed:
May 15, 1998
Appl. No.:
09/079769
Inventors:
Yuri Owechko - Newbury Park CA
Assignee:
Hughes Electronics Corporation - El Segundo CA
International Classification:
H04N 712
US Classification:
37524029
Abstract:
A method for reducing blocking artifacts in digital images is disclosed. An original image is segmented into pixel blocks and mapped into a set of images associated with a predetermined compression format to produce a second image. Pixel block border pixel values in the second image are compared and adaptively adjusted to produce a third image with reduced border discontinuities. Non-border pixels within the third image are replaced with pixels from the original image to produce a fourth image that maintains fidelity to the original image. A blockiness metric may be used to repeat the mapping, comparing, adjusting, and replacing steps until blockiness crosses a predetermined level.

Classification Method And Apparatus Based On Boosting And Pruning Of Multiple Classifiers

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US Patent:
6456991, Sep 24, 2002
Filed:
Sep 1, 1999
Appl. No.:
09/388858
Inventors:
Narayan Srinivasa - Thousand Oaks CA
Yuri Owechko - Newbury Park CA
Assignee:
HRL Laboratories, LLC - Malibu CA
International Classification:
G06N 302
US Classification:
706 20, 706 16, 706 25, 704 9
Abstract:
A boosting and pruning system and method for utilizing a plurality of neural networks, preferably those based on adaptive resonance theory (ART), in order to increase pattern classification accuracy is presented. The method utilizes a plurality of N randomly ordered copies of the input data, which is passed to a plurality of sets of booster networks. Each of the plurality of N randomly ordered copies of the input data is divided into a plurality of portions, preferably with an equal allocation of the data corresponding to each class for which recognition is desired. The plurality of portions is used to train the set of booster networks. The rules generated by the set of booster networks are then pruned in an intra-booster pruning step, which uses a pair-wise Fuzzy AND operation to determine rule overlap and to eliminate rules which are sufficiently similar. This process results in a set of intra-booster pruned booster networks. A similar pruning process is applied in an inter-booster pruning process, which eliminates rules from the intra-booster pruned networks with sufficient overlap.

Fuzzy Expert System For Interpretable Rule Extraction From Neural Networks

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US Patent:
6564198, May 13, 2003
Filed:
Feb 16, 2000
Appl. No.:
09/504641
Inventors:
Srinivasa Narayan - Moorpark CA
Yuri Owechko - Newbury Park CA
Assignee:
HRL Laboratories, LLC - Malibu CA
International Classification:
G06F 1700
US Classification:
706 60
Abstract:
An method and apparatus for extracting an interpretable, meaningful, and concise rule set from neural networks is presented. The method involves adjustment of gain parameter, and the threshold, T for the sigmoid activation function of the interactive-or operator used in the extraction/development of a rule set from an artificial neural network. A multi-stage procedure involving coarse and fine adjustment is used in order to constrain the range of the antecedents of the extracted rules to the range of values of the inputs to the artificial neural network. Furthermore, the consequents of the extracted rules are provided based on degree of membership such that they are easily understandable by human beings. The method disclosed may be applied to any pattern recognition task, and is particularly useful in applications such as vehicle occupant sensing and recognition, object recognition, gesture recognition, and facial pattern recognition, among others.

Computer Vision Method And Apparatus For Imaging Sensors For Recognizing And Tracking Occupants In Fixed Environments Under Variable Illumination

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US Patent:
6608910, Aug 19, 2003
Filed:
Sep 2, 1999
Appl. No.:
09/389874
Inventors:
Narayan Srinivasa - Moorpark CA
Yuri Owechko - Newbury Park CA
Assignee:
HRL Laboratories, LLC - Malibu CA
International Classification:
G06K 900
US Classification:
382100, 356375
Abstract:
An computer vision method and system for recognizing and tracking occupants in a fixed space under variable illumination. The system utilizes a camera to capture an initial image of the unoccupied fixed space and subsequently captures images of the occupied fixed space. The edge maps of the current estimate of the unoccupied fixed space including illumination variations and the occupied fixed space are computed. The edge map of the current estimate of the unoccupied fixed space is then subtracted from the edge map of the occupied fixed space to yield a residual edge map, which is then processed to extract the image of the occupant. At least one equivalent rectangle is then computed from the two-dimensional moments of the image of the occupant. The equivalent rectangles are then used to determine the occupant type and position and to track changes in real-time. This method and system is generally designed for use with automobile safety systems such as âsmartâ airbags.

Sensor Fusion Architecture For Vision-Based Occupant Detection

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US Patent:
6801662, Oct 5, 2004
Filed:
Oct 10, 2000
Appl. No.:
09/685235
Inventors:
Yuri Owechko - Newbury Park CA
Narayan Srinivasa - Moorpark CA
Swarup S. Medasani - Thousand Oaks CA
Riccardo Boscolo - Culver City CA
Assignee:
HRL Laboratories, LLC - Malibu CA
International Classification:
G06K 962
US Classification:
382224, 382103, 382104, 382284, 701 45
Abstract:
A vision-based system for automatically detecting the type of object within a specified area, such as the type of occupant within a vehicle. Determination of the type of occupant can then be used to determine whether an airbag deployment system should be enabled or not. The system extracts different features from images captured by image sensors. These features are then processed by classification algorithms to produce occupant class confidences for various occupant types. The occupant class confidences are then fused and processed to determine the type of occupant. In a preferred embodiment, image features derived from image edges, motion, and range are used. Classification algorithms may be implemented by using trained C5 decision trees, trained Nonlinear Discriminant Analysis networks, Hausdorff template matching and trained Fuzzy Aggregate Networks. In an exemplary embodiment, class confidences are provided for a rear-facing infant seat, a front-facing infant seat, an adult out of position, and an adult in a normal or twisted position. Fusion of these class confidences derived from multiple image features increases the accuracy of the system and provides for correct determination of an airbag deployment decision.

Method And Apparatus For Electronically Extracting Application Specific Multidimensional Information From Documents Selected From A Set Of Documents Electronically Extracted From A Library Of Electronically Searchable Documents

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US Patent:
6965900, Nov 15, 2005
Filed:
Dec 19, 2001
Appl. No.:
10/026065
Inventors:
Narayan Srinivasa - Moorpark CA, US
Swarup S. Medasani - Thousand Oaks CA, US
Yuri Owechko - Newbury Park CA, US
Deepak Khosla - Calabasas CA, US
Assignee:
X-Labs Holdings, LLC - Santa Clara CA
International Classification:
G06F017/30
US Classification:
707102, 707 3, 707 5, 707 10, 707101, 707103, 707104
Abstract:
An apparatus and method provides application specific multidimensional information to an application running on a user computing device from a plurality of member documents electronically extracted from a library of electronically searchable documents. An information extractor is adapted to extract occurrences of prospective representations of dimensions of application specific multidimensional information and occurrences of non-application specific multidimensional information from the member documents. Also, an encoder is adapted to encode the occurrences of prospective dimensions of application specific and non-application specific multidimensional information contained in member documents. A member document identifier determines document formatting and decides whether to proceed with further processing. An information verification unit optionally verifies the extraction of application specific multidimensional information from the member documents.

System And Method For Separating Signals Received By An Overloaded Antenna Array

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US Patent:
7133699, Nov 7, 2006
Filed:
Apr 22, 2003
Appl. No.:
10/421167
Inventors:
Yuri Owechko - Newbury Park CA, US
David B. Shu - West Hills CA, US
Assignee:
Raytheon Company - Waltham MA
International Classification:
H04M 1/00
US Classification:
4555621, 455 6711, 704203
Abstract:
A method of separating mixed wireless signals is provided. The method includes receiving, at an antenna comprising a first quantity of antenna elements, mixed signals comprising a mixture of source signals communicated from a second quantity of wireless signal sources, and separating the mixed signals to estimate the source signals. The second quantity is greater than the first quantity, and the source signals communicated from at least one of the wireless signal sources are received at the antenna as complex signals.

Application-Specific Object-Based Segmentation And Recognition System

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US Patent:
7227893, Jun 5, 2007
Filed:
Aug 22, 2003
Appl. No.:
10/646585
Inventors:
Narayan Srinivasa - Moorpark CA, US
Swarup S. Medasani - Thousand Oaks CA, US
Yuri Owechko - Newbury Park CA, US
Deepak Khosla - Calabasas CA, US
Assignee:
XLabs Holdings, LLC - Los Angeles CA
International Classification:
H04N 7/18
US Classification:
37524008, 37524016, 348155, 348169
Abstract:
A video detection and monitoring method and apparatus utilizes an application-specific object based segmentation and recognition system for locating and tracking an object of interest within a number of sequential frames of data collected by a video camera or similar device. One embodiment includes a background modeling and object segmentation module to isolate from a current frame at least one segment of the current frame containing a possible object of interest, and a classification module adapted to determine whether or not any segment of the output from the background modeling apparatus includes an object of interest and to characterize any such segment as an object segment. An object segment tracking apparatus is adapted to track the location within a current frame of any object segment and to determine a projected location of the object segment in a subsequent frame.
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Yuri B Owechko from Newbury Park, CA, age ~68 Get Report