DR. JONG H KIM, D.C., C.C.E.P.
Anesthesiologist Assistant at Pacific Coast Hwy, Torrance, CA
License number
California 32403
Category
Chiropractic
Type
Rehabilitation
Address
Address
2537 Pacific Coast Hwy STE B, Torrance, CA 90505
Phone
(213) 447-3234
(424) 202-5486 (Fax)
(424) 202-5486 (Fax)
Professional information
Dr. Jong H Kim, Torrance CA - DC (Doctor of Chiropractic)
Specialties:
Chiropractic, Chiropractic Rehabilitation
Address:
2340 Plaza Del Amo STE 100, Torrance 90501
(310) 212-0766 (Phone)
(310) 212-0766 (Phone)
Languages:
English
Semantic Enrichment By Exploiting Top-K Processing
US Patent:
2013026, Oct 10, 2013
Filed:
Jun 3, 2011
Appl. No.:
13/701347
Inventors:
Jong Wook Kim - Torrance CA, US
Ashwin S. Kashyap - Mountain View CA, US
Dekai Li - Lawrenceville GA, US
Sandilya Bhamidipati - Mountain View CA, US
Avinash Sridhar - Pennington NJ, US
Saurabh Mathur - Monmouth Junction NJ, US
Bankim A. Patel - Hillsborough NJ, US
Ashwin S. Kashyap - Mountain View CA, US
Dekai Li - Lawrenceville GA, US
Sandilya Bhamidipati - Mountain View CA, US
Avinash Sridhar - Pennington NJ, US
Saurabh Mathur - Monmouth Junction NJ, US
Bankim A. Patel - Hillsborough NJ, US
Assignee:
THOMSON LICENSING - Issy de Moulineaux
International Classification:
G06F 17/27
US Classification:
704 9
Abstract:
Proper representation of the meaning of texts is crucial to enhancing many data mining and information retrieval tasks, including clustering, computing semantic relatedness between texts, and searching. Representing of texts in the concept-space derived from Wikipedia has received growing attention recently, due to its comprehensiveness and expertise. This concept-based representation is capable of extracting semantic relatedness between texts that cannot be deduced with the bag of words model. A key obstacle, however, for using Wikipedia as a semantic interpreter is that the sheer size of the concepts derived from Wikipedia makes it hard to efficiently map texts into concept-space. An efficient algorithm is proved which is able to represent the meaning of a text by using the concepts that best match it. In particular, this approach first computes the approximate top- concepts that are most relevant to the given text. These concepts are then leverage to represent the meaning of the given text.
Automatic Image Discovery And Recommendation For Displayed Television Content
US Patent:
2013000, Jan 3, 2013
Filed:
Apr 29, 2011
Appl. No.:
13/634805
Inventors:
Dekai Li - Lawrenceville GA, US
Ashwin Kashyap - Mountain View CA, US
Jong Wook Kim - Torrance CA, US
Ashwin Kashyap - Mountain View CA, US
Jong Wook Kim - Torrance CA, US
Assignee:
Thomson Licensing - Issyles-Moulineaux
International Classification:
G06F 17/30
US Classification:
707769, 707E17014, 707E17019
Abstract:
A method and system are provided that can automatically discover related images and recommend them. It uses images that occur on the same page or are taken by the same photographer for image discovery. The system can also use semantic relatedness for filtering images. Sentiment analysis can also be used for image ranking and photographer ranking.