- McLean VA, US Reza Farivar - Champaign IL, US Jeremy Edward Goodsitt - Champaign IL, US Kate Key - Effingham IL, US Vincent Pham - Champaign IL, US Galen Rafferty - Mahomet IL, US Austin Walters - Columbia TN, US
International Classification:
H04N 7/15 H04L 9/40
Abstract:
Systems and methods for dynamically concealing sensitive information in a shared screen session of a video conference are disclosed. The system may establish communication with one or more computing devices active in a video conference in which each computing device may switch between a screen share mode and a video mode. The system may determine that one or more articles of sensitive information are visible in a graphical user interface associated with a first computing device of the plurality of computing devices. The system may receive a first signal from the first computing device that indicates a first intent of a host associated with the first computing device to switch the screen share mode which includes sharing the first graphical user interface with the one or more computing devices during the video conference. In response to the first signal, the system may execute one or more privacy actions.
Systems And Methods For Parsing Log Files Using Classification And A Plurality Of Neural Networks
- McLean VA, US Fardin ABDI TAGHI ABAD - Champaign IL, US Austin WALTERS - Savoy IL, US Jeremy GOODSITT - Champaign IL, US Vincent PHAM - Champaign IL, US Kate KEY - Effingham IL, US
The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.
- McLean VA, US Vincent Pham - Champaign IL, US ANH TRUONG - Champaign IL, US Galen Rafferty - Mahomet IL, US Austin Walters - Savoy IL, US Reza Farivar - Champaign IL, US Mark Watson - Urbana IL, US
Randomizations of a web page may be generated in advance and provided to a client. The client may store the randomizations in its cache. Multiple randomizations for the same web page may be provided to the client and stored in the client's cache. When a request for a web page is made, it is determined if the client has any cached randomizations. Randomizations for the probable next web page to be requested by the client may be provided to the client for storage in the cache. For example, the probability that a link will be clicked or a website visited may be determined. Those web pages and websites with higher probabilities may be determined. Randomizations for those web pages are then provided to the client for use.
- McLean VA, US Jeremy GOODSITT - Champaign IL, US Austin WALTERS - Champaign IL, US Anh TRUONG - Champaign IL, US Vincent PHAM - Champaign IL, US
International Classification:
G06F 21/60 G06N 20/00 H04L 9/08 G06F 21/51
Abstract:
Systems and methods mediate permissions for applications on user devices using predictive models. Data communications are monitored on a user device for permission requests and responses. A predictive model is trained with these permission requests and responses until a threshold is met. Then, a default permission response is provided on behalf of the user device in response to a permission request.
Systems And Methods For Message Management In Localized Networks
A system comprises a network and a message management system. The message management system can apply a predictive model to generate a broadcast event message for transmission over the network to solicit message requests for entry into a bidding process. The bidding process can be associated with an event in the region and a bidding timeframe. The message management system can receive message requests for the event during the bidding timeframe, and select one of the message requests from a selected requestor after the expiration of the bidding timeframe. The message management system can receive an event message from the selected requestor. The message management system can present the event message via the communication service. The event message can be provided at an access point for the Wi-Fi service.
- McLean VA, US Fardin ABDI TAGHI ABAD - Champaign IL, US Vincent PHAM - Champaign IL, US Jeremy GOODSITT - Champaign IL, US Anh TRUONG - Champaign IL, US Mark WATSON - Urbana IL, US Reza FARIVAR - Champaign IL, US Kenneth TAYLOR - Champaign IL, US
Systems and methods for censoring text-based data are provided. In some embodiments a censoring system may include at least one processor and at least one non-transitory memory storing application programming interface instructions. The censoring system may be configured to perform operations comprising storing a target pattern type and a computer-based model for identifying a target data pattern corresponding to a target pattern type within text based data. The censoring system may also be configured to receive text-based data by a server, and to retrieve the stored target pattern type to be censored in the text-based data. The censoring system may be configured to identify within the received text-based data, a target data pattern corresponding to the retrieved target pattern type. The censoring system may be configured to censor target characters within the identified target data pattern, and transmit the censored text-based data to a receiving party.
Systems And Methods For Training And Executing A Neural Network For Collaborative Monitoring Of Resource Usage
- McLean VA, US Jeremy GOODSITT - Champaign IL, US Fardin ABDI TAGHI ABAD - Seattle WA, US Austin WALTERS - Savoy IL, US Mark WATSON - Urbana IL, US Anh TRUONG - Champaign IL, US Vincent PHAM - Champaign IL, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G06N 3/08 G06F 16/28 G06N 3/04
Abstract:
Disclosed are systems and methods for training and executing a neural network for collaborative monitoring of resource usage metrics. For example, a method may include receiving user data sets, grouping the user data sets into one or more clusters of user data sets, grouping each of the one or more clusters into a plurality of subclusters, for each of the plurality of subclusters, training the neural network to associate the subcluster with one or more sequential patterns found within the subcluster, grouping the plurality of user data sets into a plurality of teams, receiving a first series of transactions of a first user, inputting the first series of transactions into the trained neural network, classifying, using the trained neural network, the first user into a subcluster among the plurality of subclusters, generating a metric associated with the first series of transactions, generating a recommendation to the first user.
Dynamic Selection Of Advertisements Using Deep Learning Models On Client Devices
- McLean VA, US Galen RAFFERTY - Mahomet IL, US Austin Grant WALTERS - Savoy IL, US Jeremy Edward GOODSITT - Champaign IL, US Anh TRUONG - Champaign IL, US Vincent PHAM - Champaign IL, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G06Q 30/02 G06N 20/00
Abstract:
Systems, methods, and computer program products to transmit, by a web browser to a web server, a hypertext transfer protocol request for a web page at a first uniform resource identifier (URI). The web browser may receive, from the web server via, the web page and metadata of a plurality of candidate advertisements, the plurality of candidate advertisements determined based on a master machine learning (ML) model. A client ML model executing in the web browser may process the received metadata, the client ML model trained based on prior interactions between one or more users of the web browser and a plurality of previously displayed advertisements. The client ML model may determine based on the processing, a first candidate advertisement of the plurality of candidate advertisements to display in the web browser with the received web page. The web browser may receive, from a second URI, the first candidate advertisement of the plurality of candidate advertisements and output the web page and the first candidate advertisement on a display device.
Youtube
Happy Birthday Vincent Pham
Happy Birthday Boyfriend! i love you*i do not own anything.
Category:
Entertainment
Uploaded:
02 Feb, 2011
Duration:
5m 35s
CV: derek, a hair flipper
haha. this is so old...back in mrs. stenger's science class in 7th gra...
Category:
Pets & Animals
Uploaded:
14 Jun, 2007
Duration:
27s
MIA - Bruno Mars - Grenade (Cover/Performan...
MIA = Made In Asia. We performed Grenade by Bruno Mars at St. Gabriel ...
Category:
Entertainment
Uploaded:
13 May, 2011
Duration:
5m 37s
Guys Jump Into Dress Pants and Vests
Performed at UVSA's 2009 Winter Formal " Crystalline Dreams" This is t...
LED-Worx - Co-Owner (2007) GI Joe Search and Rescue - Operations (2011)
Education:
UCI
About:
"The only thing necessary for the triumph of evil, is for good men to do nothing"
Vincent Pham
Education:
University of California, Riverside - Art History, University of Warwick - Art History
Vincent Pham
Education:
Jersey Village High School
Vincent Pham
Education:
Đinh Thiện Lý
Vincent Pham
About:
It's just some writing that I've done. For the most part (most likely all of it), it'll just be stories that I'm telling! So, enjoy, hope they aren't that poorly written and commen...
Tagline:
If you wanted some insight on an Asian kid's life growing up in the hood. You're in the wrong place.
Bragging Rights:
I have NOT gotten a speeding ticket (It could be my four cylinder car?)
Vincent Pham
Education:
Silver creek high school
Relationship:
Single
Vincent Pham
Education:
University of Paris VI: Pierre et Marie Curie - Physique