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Anna Majkowska Phones & Addresses

  • Los Angeles, CA
  • Santa Rosa, CA
  • 427 Mangels Ave, San Francisco, CA 94127
  • Mountain View, CA
  • Riverside, CA
  • San Bernardino, CA

Publications

Us Patents

Clustering Documents Based On Common Document Selections

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US Patent:
8650196, Feb 11, 2014
Filed:
Sep 30, 2011
Appl. No.:
13/251056
Inventors:
Yun Zhou - San Jose CA, US
Anna Dagna Majkowska - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 7/00
US Classification:
707737, 707749
Abstract:
One or more server devices may receive first navigation information identifying a first set of documents that are selected after a first document is presented and second navigation information identifying a second set of documents that are selected after a second document is presented; compare the first set of documents to the second set of documents; generate a similarity score based on the comparing; determine based on the similarity score, that the first document is similar to the second document; and generate, based on determining that the first document is similar to the second document, a cluster that includes identification information identifying the first document and the second document.

Merging Semantically Similar Clusters Based On Cluster Labels

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US Patent:
8583648, Nov 12, 2013
Filed:
Sep 30, 2011
Appl. No.:
13/251057
Inventors:
Anna Dagna Majkowska - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707737
Abstract:
A server device may receive first label information regarding a first cluster that includes information identifying a first set of documents, where the first label information regarding the first cluster includes a first set of labels that are associated with the first cluster, and second label information regarding a second cluster that includes information identifying a second set of documents, where the second label information regarding the second cluster includes a second set of labels that are associated with the second cluster, where the second set of documents is different from the first set of documents. The server device may also form a merged cluster by merging the first and second clusters. The server device may further determine one or more labels for the merged cluster. Furthermore, the server device may assign the one or more labels to the merged cluster.

Deep Learning System For Diagnosis Of Chest Conditions From Chest Radiograph

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US Patent:
20220384042, Dec 1, 2022
Filed:
Oct 13, 2020
Appl. No.:
17/775139
Inventors:
- Mountain View CA, US
Shravya Ramash Shetty - San Francisco CA, US
Siddhant Mittal - New York NY, US
David Francis Steiner - Redwood City CA, US
Anna Majkowska - San Francisco CA, US
Gavin Elliott Duggan - Mountain View CA, US
International Classification:
G16H 50/20
G16H 30/20
Abstract:
The present disclosure provides systems and methods for training and/or employing machine-learned models (e.g., artificial neural networks) to diagnose chest conditions such as, as examples, pneumothorax, opacity, nodules or masses, and/or fractures based on chest radiographs. For example, one or more machine-learned models can receive and process a chest radiograph to generate an output. The output can indicate, for each of one or more chest conditions, whether the chest radiograph depicts the chest conditions (e.g., with some measure of confidence). The output of the machine-learned models can be provided to a medical professional and/or patient for use in providing treatment to the patient (e.g., to treat a detected condition).

Query Categorization Based On Image Results

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US Patent:
20150161176, Jun 11, 2015
Filed:
Dec 29, 2009
Appl. No.:
12/649160
Inventors:
Anna Majkowska - San Francisco CA, US
Cristian Tapus - Santa Clara CA, US
International Classification:
G06F 17/30
G06N 99/00
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

Merging Semantically Similar Clusters Based On Cluster Labels

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US Patent:
20150161248, Jun 11, 2015
Filed:
Nov 8, 2013
Appl. No.:
14/075371
Inventors:
- Mountain View CA, US
Anna Dagna MAJKOWSKA - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
Abstract:
A server device may receive first label information regarding a first cluster that includes information identifying a first set of documents, where the first label information regarding the first cluster includes a first set of labels that are associated with the first cluster, and second label information regarding a second cluster that includes information identifying a second set of documents, where the second label information regarding the second cluster includes a second set of labels that are associated with the second cluster, where the second set of documents is different from the first set of documents. The server device may determine that the first and second clusters are semantically similar, which may include determining whether a similarity of the first and second clusters is above a similarity threshold. The server device may also form a merged cluster by merging the first and second clusters. The server device may further determine one or more labels for the merged cluster. Furthermore, the server device may assign the one or more labels to the merged cluster.
Anna Dagna Majkowska from Los Angeles, CA, age ~46 Get Report