An embodiment of the present invention is a maneuverable topiary frame for instant application to topiary related shrubs, trees, plants, and foliage. The embodiment allows for instant use to already existing plants thereby significantly reducing the time required for filling out the topiary frame as required of conventional topiary frames used for plants in their early stages of growth. The frame of the embodiment of the present invention is maneuverable, having extremities or extensions hinged about the frame to allow for opening and closing; and is thereby adapted to meet the needs of manipulating grown branches of mature plants or growing plants very easily within the frame to fill in extremities or extensions of the frame designs. In addition, a method of manufacturing of maneuverable topiary frames is described comprising forming rigid support pieces, separated into members; smoothly weaving a mesh framework around the support pieces; forming hinged connections to connect separated members; and permanently attaching clip mechanisms to release and secure members.
Method Of Manufacturing An Instant Topiary Frame Apparatus
An embodiment of the present invention is a maneuverable topiary frame for instant application to topiary related shrubs, trees, plants, and foliage. The embodiment allows for instant use to already existing plants thereby significantly reducing the time required for filling out the topiary frame as required of conventional topiary frames used for plants in their early stages of growth. The frame of the embodiment of the present invention is maneuverable, having extremities or extensions hinged about the frame to allow for opening and closing; and is thereby adapted to meet the needs of manipulating grown branches of mature plants or growing plants very easily within the frame to fill in extremities or extensions of the frame designs. A method of manufacturing of maneuverable topiary frames is described comprising forming rigid support pieces, separated into members; smoothly weaving a mesh framework around the support pieces; forming hinged connections to connect separated members; and permanently attaching clip mechanisms to release and secure members.
- New York NY, US Sophia Emma Nina Collet - New York NY, US Chen Huang - Queens NY, US Zahi Nadim Karam - Brooklyn NY, US Bryan Estes - Seattle WA, US Max Solomon Bennett - Brooklyn NY, US
International Classification:
G06Q 30/02 G06N 20/00
Abstract:
Methods and corresponding systems for automatic frequency capping provide an automated decision-making process that decides dynamically how often the content of electronic communications from an entity should be sent to any specific customer or potential customer for a particular campaign. An individual customer's or potential customer's optimal electronic communication frequency is determined using machine learning and is based on behavior data. The method may comprise receiving from an entity, content and an audience, that includes at least a particular customer or potential customer, for use for generating electronic communications for the particular campaign; training a model to learn a personalized frequency for sending the electronic communications to each of the audience; based on the trained model, the content, and the audience, creating electronic communications to send to each of the audience; and causing the electronic communications to be sent to each of the audience at a frequency that is personalized.
Model And Ensemble Compression For Metric Learning
- Cupertino CA, US Feng Tang - Cupertino CA, US Chen Huang - Columbia MO, US Shih-Yu Sun - Cupertino CA, US Walter A. Talbot - Cupertino CA, US
International Classification:
G06N 99/00 G06N 5/02
Abstract:
Systems and processes for metric learning distillation are disclosed herein. In accordance with one example, a method includes, at an electronic device, at an electronic device having one or more processors and memory, receiving a first plurality of vectors from a first model, receiving a second plurality of vectors from a second model, determining a first plurality of vector distances based on the first plurality of vectors, generating a first matrix based on the first plurality of vector distances, determining a second plurality of vector distances based on the second plurality of vectors, generating a second matrix based on the second plurality of vector distances, comparing the first matrix with the second matrix, and adjusting the second model based on the comparison of the first matrix and the second matrix.
Method And System For Inserting Contents Into Video Presentations
- San Jose CA, US CHEN HUANG - San Jose CA, US HAOHONG WANG - San Jose CA, US
International Classification:
H04N 21/234 H04N 21/81 H04N 21/2668
Abstract:
The present invention provides a salience-based media manipulation method and system for inserting contents into video presentations. The method includes establishing an advertisement-element pool containing a plurality of advertisement elements provided for insertion; obtaining an input video presenting at least one scenes and containing a plurality of original frames; and performing shot grouping and primary scene analysis on the input video to acquire scenes with static background and limited camera motion. The method also includes detecting white-space candidates in the acquired scenes for inserting at least one advertisement element and adjusting alignment between the white-space candidates and the at least one advertisement element. The adjusted alignment increases a salience gain of the advertisement elements and limit salience change of the scenes without insertion. The method further includes generating an output video by inserting the advertisement elements into the white-space candidates according to the adjusted alignment between the white-space candidates and the advertisement elements.
Dr. Huang graduated from the China Med Coll, Taichung, Taiwan (244 05 Eff 1/1971) in 1965. He works in Flanders, NJ and specializes in Family Medicine.
Oct 2008 to 2000 Senior Analyst/Developer, VPGoldman Sachs New York, NY Jun 2005 to Oct 2008 Programmer AnalystMoney.net New York, NY Nov 2004 to Jun 2005 Software DeveloperLake 5 Media New York, NY Dec 2002 to Nov 2004 Programmer/Application Developer
Education:
University of Pennsylvania Philadelphia, PA 2002 M.S. in Telecommunication and NetworkingUniversity of Pennsylvania Philadelphia, PA 1999 to 2000 M.S. in Computer and Information ScienceHuazhong University of Science & Technology Wuhan, CN 1992 to 1996 B.S. in Electrical Engineering
May 2014 to 2000 Inside Sales ManagerGenScript USA Inc Piscataway, NJ Aug 2012 to May 2014 Technical Account ManagerPennsylvania State University
Jan 2012 to Aug 2012 Research AssistantGlaxo Smith Kline (GSK) Philadelphia, PA May 2011 to Dec 2011 Data AnalystTemple University Philadelphia, PA Sep 2008 to Dec 2010 Research/Teaching Assistant
Education:
Temple University Philadelphia, PA Dec 2010 M.S. in BiologyShandong Normal University 2007 B.S. in Biology
Aug 2012 to 2000 Technical Account ManagerPennsylvania State University
Jan 2012 to Aug 2012 Research AssistantGlaxo Smith Kline (GSK) Philadelphia, PA May 2011 to Dec 2011 Data AnalystPenn Biotech Group (PBG) Philadelphia, PA Sep 2010 to Dec 2010 ConsultantTemple University Philadelphia, PA Sep 2008 to Dec 2010 Research/Teaching Assistant
Education:
Temple University Philadelphia, PA Dec 2010 M.S. in BiologyShandong Normal University 2007 B.S. in Biology
Inventec Corporation San Diego, CA Jun 2007 to Jan 2012 Strategic Program Management, DirectorTexas Instruments, Inc Sunnyvale, CA Aug 2004 to Jun 2007 Wireless Program Manager, StaffThink Outside, Inc Santa Clara, CA Oct 2000 to Aug 2004 Mobile Engineering, DirectorInFocus / Proxima Corp San Diego, CA Apr 1993 to Oct 2000 Product Differentiation, DirectorGraphtec Corp Tokyo, Japan Apr 1990 to Apr 1993 Sr. System Engineer
Education:
University of California San Diego, CA Jan 2000 to Jan 2001 Executive Program for Scientist and Engineer (before UCSD MBA program available)Tokyo University of A & T Tokyo, Japan M.S. in Electrical EngineeringZhejiang University HangZhou, China B.S. in Electrical Engineering
Slalom Consulting San Francisco, CA Apr 2010 to Feb 2012 ConsultantAccenture Ltd San Jose, CA Apr 2007 to Apr 2010 Consultant
Education:
Carnegie Mellon University Pittsburgh, PA 2006 to 2006 M.S. in Electrical and Computer EngineeringCarnegie Mellon University Pittsburgh, PA 2002 to 2006 B.S. in Electrical and Computer Engineering, Business Administration
Skills:
* Product Development Product Design & Development, Business and Use Cases, Business & Competitive Analysis, Strategic Planning, User Experience Design, Business Process Flow Design, Requirements Gathering, Project Management, Risk Management & Mitigation, Marketing, System Implementation, BRDs, FRDs * Technical Agile SCRUM, SLDC, Business Intelligence & Analytics, Data Warehousing and Modeling, Reporting Systems, Oracle OBIEE, SAP BusinessObjects, Roambi, Tableau, SQL, VBA