Alex Chuh Yu Lin

US Patent:

7173741, Feb 6, 2007

Filed:

Apr 12, 2002

Appl. No.:

10/121845

Inventors:

Willem Johannes Kindt - Sunnyvale CA, US
Alex Chung-Chun Lin - San Jose CA, US

Assignee:

National Semiconductor Corporation - Santa Clara CA

International Classification:

H04N 1/40

US Classification:

358443, 358447, 358518, 348246, 382275

Abstract:

A method and apparatus for handling bad pixels in an image sensor array includes processing data values associated with the pixels of the image sensor. Processing the data values is performed by at least a first pass process and a subsequent pass process. In the first pass, the data values associated with the pixels are analyzed to determine whether any of the pixels are bad pixels. Information identifying the bad pixels is stored in a memory storage area of limited size. The stored information may also include an indicator, indicating a confidence level in categorizing the bad pixel. During the first pass, an overflow mark is stored in the memory storage area when insufficient memory storage is available for storing the information about a particular bad pixel. The overflow mark identifies the particular pixel in the image sensor array. During subsequent passes, processing may be redirected to the first pass to resume first pass processing of the data value associated with the particular pixel identified by the overflow mark.

US Patent:

20220358522, Nov 10, 2022

Filed:

May 4, 2022

Appl. No.:

17/736366

Inventors:

- San Francisco CA, US
Tanvi SHAH - Cupertino CA, US
Amar DOSHI - Sunnyvale CA, US
Alex LIN - San Francisco CA, US
Steven SASSMAN - San Francisco CA, US
Yulia TYUTINA - Eden Prairie MN, US
Viral BAJARIA - Redwood City CA, US
Aditya MAJUMDAR - Philadelphia PA, US

International Classification:

G06Q 30/02
G06N 5/04
G06N 5/02

Abstract:

AI-based orchestration. In an embodiment, a recommendation engine is applied to a data pipeline representing company accounts. Engagement metric(s) are calculated based on activity data associated with the company accounts, and predictive model(s) are applied to the activity data and/or firmographic data associated with the company accounts to generate predictive output. A tactic recommendation model is applied to orchestration features, comprising the engagement metric(s) and predictive output, to generate recommended tactic(s). In addition, a contact recommendation model is applied to contact data to generate recommended contact(s). The recommended tactic(s) are combined with the recommend contact(s) to generate an orchestration, comprising recommended action(s), to be executed.