MR. CHARLES S PARKER, MD
Osteopathic Medicine at Samaritan Dr, Corvallis, OR
License number
Oregon MD13760
Category
Osteopathic Medicine
Type
Emergency Medicine
License number
Oregon MD13760
Category
Osteopathic Medicine
Type
Internal Medicine
Address
Address
3680 NW Samaritan Dr, Corvallis, OR 97330
Phone
(541) 754-1282
Organization information
See more information about CHARLES S PARKER at bizstanding.comCorvallis Clinic Immediate - Charles S Parker MD
3680 NW Samaritan Dr, Corvallis, OR 97330
Categories:
Emergency & Critical Care Physicians & Surgeons, Physicians & Surgeons
Site:
Phone:
(541) 754-1150 (Phone)
In practice since:
1947
Products:
For Sudden Illness OR Minor Injury, No Appointment Necessary
Open Hours:
Mon-Fri Weekdays
Additional:
No Appointment Necessary, Weekends & Holidays 10 Am-5PM, Christmas & Thanksgiving 10AM-2PM, Pediatrics Available by Appointment Only, Same Day Appointments Are Availably
Professional information
Dr. Charles S Parker, Corvallis OR - MD (Doctor of Medicine)
Specialties:
Internal Medicine, Emergency Medicine
Address:
Corvallis Office
3680 NW Samaritan Dr, Corvallis 97330
(541) 754-1368 (Phone)
3680 NW Samaritan Dr, Corvallis 97330
(541) 754-1368 (Phone)
Languages:
English, Chinese, French, German, Italian, Korean, Polish, Russian, Spanish, Tagalog, Vietnamese
Hospitals:
Corvallis Office
3680 NW Samaritan Dr, Corvallis 97330
Good Samaritan Regional Medical Center
3600 West Samaritan Dr, Corvallis 97330
Salem Hospital
890 Oak St South #East, Salem 97301
3680 NW Samaritan Dr, Corvallis 97330
Good Samaritan Regional Medical Center
3600 West Samaritan Dr, Corvallis 97330
Salem Hospital
890 Oak St South #East, Salem 97301
Education:
Medical School
Washington Center / School of Medicine
Graduated: 1982
Washington Center / School of Medicine
Graduated: 1982
Audio Based Control Of Equipment And Systems
US Patent:
2014005, Feb 27, 2014
Filed:
Aug 22, 2012
Appl. No.:
13/591472
Inventors:
Alexander C. Loui - Penfield NY, US
Wei Jiang - Fairport NY, US
Kevin Michael Gobeyn - Rochester NY, US
Charles Parker - Corvallis OR, US
Wei Jiang - Fairport NY, US
Kevin Michael Gobeyn - Rochester NY, US
Charles Parker - Corvallis OR, US
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
A method for controlling a device responsive to an audio signal captured using an audio sensor. A data processor is used to automatically analyze the audio signal using a plurality of semantic concept detectors to determine corresponding preliminary semantic concept detection values, each semantic concept detector being adapted to detect a particular semantic concept. The preliminary semantic concept detection values are analyzed using a joint likelihood model based on predetermined pair-wise likelihoods that particular pairs of semantic concepts co-occur to determine updated semantic concept detection values. One or more semantic concepts are determined based on the updated semantic concept detection values, and the device is controlled responsive to identified semantic concepts. The semantic concept detectors and the joint likelihood model are trained together with a joint training process using training audio signals, at least some of which are known to be associated with a plurality of semantic concepts.
Charles Smith Parker, Corvallis OR
Specialties:
Emergency Medicine, Internal Medicine, Critical Care Medicine
Work:
Corvallis Clinic
3680 NW Samaritan Dr, Corvallis, OR 97330
3680 NW Samaritan Dr, Corvallis, OR 97330
Education:
Washington University at St. Louis (1982)
Charles Smith Parker, Corvallis OR
Specialties:
Internist
Address:
3680 Nw Samaritan Dr, Corvallis, OR 97330
Audio Signal Semantic Concept Classification Method
US Patent:
2014005, Feb 27, 2014
Filed:
Aug 22, 2012
Appl. No.:
13/591489
Inventors:
Alexander C. Loui - Penfield NY, US
Wei Jiang - Fairport NY, US
Kevin Michael Gobeyn - Rochester NY, US
Charles Parker - Corvallis OR, US
Wei Jiang - Fairport NY, US
Kevin Michael Gobeyn - Rochester NY, US
Charles Parker - Corvallis OR, US
International Classification:
H04R 29/00
US Classification:
381 56
Abstract:
A method for determining a semantic concept associated with an audio signal captured using an audio sensor. A data processor is used to automatically analyze the audio signal using a plurality of semantic concept detectors to determine corresponding preliminary semantic concept detection values, each semantic concept detector being adapted to detect a particular semantic concept. The preliminary semantic concept detection values are analyzed using a joint likelihood model based on predetermined pair-wise likelihoods that particular pairs of semantic concepts co-occur to determine updated semantic concept detection values. One or more semantic concepts are determined based on the updated semantic concept detection values. The semantic concept detectors and the joint likelihood model are trained together with a joint training process using training audio signals, at least some of which are known to be associated with a plurality of semantic concepts.
Method And Apparatus For Visualizing And Interacting With Decision Trees
US Patent:
2013011, May 9, 2013
Filed:
Nov 2, 2012
Appl. No.:
13/667542
Inventors:
Adam Ashenfelter - Corvallis OR, US
Francisco Martin - Corvallis OR, US
Jos Verwoerd - Corvallis OR, US
Jose Antonio Ortega - Corvallis OR, US
Charles Parker - Corvallis OR, US
Miguel Araujo - Corvallis OR, US
Francisco Martin - Corvallis OR, US
Jos Verwoerd - Corvallis OR, US
Jose Antonio Ortega - Corvallis OR, US
Charles Parker - Corvallis OR, US
Miguel Araujo - Corvallis OR, US
Assignee:
BigML, Inc. - Corvallis OR
International Classification:
G06F 17/30
US Classification:
707748, 707754
Abstract:
A decision tree model is generated from sample data. A visualization system may automatically prune the decision tree model based on characteristics of nodes or branches in the decision tree or based on artifacts associated with model generation. For example, only nodes or questions in the decision tree receiving a largest amount of the sample data may be displayed in the decision tree. The nodes also may be displayed in a manner to more readily identify associated fields or metrics. For example, the nodes may be displayed in different colors and the colors may be associated with different node questions or answers.