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Yoshiyuki L Inagaki

from Santa Clara, CA
Age ~66
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Also known as:
I Inagaki
Phone and address:
864 Transill Cir, Santa Clara, CA 95054
Related to:
Yumi Inagaki
Connected to:
Chie Inagaki, 57Maimi J Inagaki, 38Mary Y Inagaki, 99Tadesh D Inagaki, 32Yuka Inagaki, 51Madhuri Inaganti, 39Floro C Inagapad, 58Eriko Inage, 61Byron S Inahara, 61Jerry Inahara, 70

Yoshiyuki Inagaki Phones & Addresses

  • 864 Transill Cir, Santa Clara, CA 95054
  • Irvine, CA

Resumes

Resumes

Yoshiyuki Inagaki Photo 1

Research Scientist

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Location:
864 Transill Cir, Santa Clara, CA 95054
Industry:
Internet
Work:
Yahoo! since Oct 2007
Research Scientist
Link Information System Oct 2006 - May 2007
Expert
Institute for Brain Aging and Dementia Sep 1999 - May 2006
Assistant Specialist
University of California, Irvine 1999 - 2000
Post-doctoral researcher
Education:
University of California, Irvine 1992 - 1999
University of California, Irvine 1989 - 1991
The University of Electro-Communications 1983 - 1985
Coursera PGM
Skills:
Machine Learning
Artificial Intelligence
Python
Mapreduce
R
Perl
Natural Language Processing
Text Mining
Hadoop
Neural Networks
Feature Extraction
Object Classification
Game Theory
Artificial Life
Evolutionary Algorithms
Evolutionary Programming
Java
C/C++
Pig
Matlab/Octave
Interests:
New Technologies
Inline (Roller) Hockey
Confectionary Making
Languages:
English
Japanese
Certifications:
Algorithms: Design and Analysis, Part 2
Probabilistic Graphical Models
Natural Language Processing
Quantum Mechanics and Quantum Computation
Game Theory Ii
General Game Playing
Game Theory I
Game Theory Ii: Advanced Applications
Machine Learning
Mining Massive Datasets
Computational Neuroscience
Functional Program Design In Scala
Functional Programming Principles In Scala
Neural Networks For Machine Learning
Parallel Programming
Big Data Analysis With Scala and Spark
Coursera
Stanford Online
Yoshiyuki Inagaki Photo 2

Yoshiyuki Inagaki

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Publications

Us Patents

Method And Apparatus For Generating Special-Purpose Image Analysis Algorithms

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US Patent:
7254266, Aug 7, 2007
Filed:
Jun 23, 2006
Appl. No.:
11/474064
Inventors:
Carl W. Cotman - Santa Ana CA, US
Charles F. Chubb - Irvine CA, US
Yoshiyuki Inagaki - Irvine CA, US
Brian Cummings - Irvine CA, US
International Classification:
G06K 9/00
G06K 9/62
US Classification:
382156
Abstract:
Provides quantitative data about a two or more dimensional image. Classifies and counts number of entities an image contains. Each entity comprises a structure, or some other type of identifiable portion having definable characteristics. The entities located within an image may have different shape, color, texture, etc. , but still belong to the same classification. Alternatively, entities comprising a similar color/texture may be classified as one type while entities comprising a different color/texture may be classified as another type. May quantify image data according to set of changing criteria and derive one or more classifications for entities in image. I. e. , provides a way for a computer to determine what kind of entities (e. g. , entities) are in image and counts total number of entities visually identified in image. Information utilized during a training process may be stored and applied across different images.

Session Based Click Features For Recency Ranking

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US Patent:
8255390, Aug 28, 2012
Filed:
Mar 16, 2010
Appl. No.:
12/725310
Inventors:
Yoshiyuki Inagaki - Sunnyvale CA, US
Narayanan Sadagopan - Sunnyvale CA, US
Georges-Eric Albert Marie Robert Dupret - Mountain View CA, US
Ciya Liao - Fremont CA, US
Anlei Dong - Fremont CA, US
Yi Chang - Santa Clara CA, US
Zhaohui Zheng - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707722, 707725, 707727
Abstract:
In one embodiment, access one or more query-resource pairs, wherein for each one of the query-resource pairs comprising one of one or more search queries and one of one or more network resources, the one search query is recency-sensitive with respect to a particular time period, and the one network resource is identified for the one search query, and a resource-view count and a resource-click count associated with each one of the query-resource pairs; and construct one or more first click features using the resource-view counts and the resource-click counts associated with the query-resource pairs. To construct one of the first click features in connection with one of the query-resource pairs comprises determine a only-resource-click count associated with the one query-resource pair; and calculate a ratio between the only-resource-click count and the resource-view count associated with the one query-resource pair as the one first click feature.

Session Based Click Features For Recency Ranking

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US Patent:
8326815, Dec 4, 2012
Filed:
Mar 16, 2010
Appl. No.:
12/725357
Inventors:
Narayanan Sadagopan - Sunnyvale CA, US
Yoshiyuki Inagaki - Sunnyvale CA, US
Georges-Eric Albert Marie Robert Dupret - Mountain View CA, US
Ciya Liao - Fremont CA, US
Anlei Dong - Fremont CA, US
Yi Chang - Santa Clara CA, US
Zhaohui Zheng - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707705, 707722, 707726, 707727
Abstract:
In one embodiment, access one or more query chains, wherein each one of the query chains comprises two or more search queries, {q,. . . , q}, which are recency-sensitive, are related to the same subject matter, and are issued to a search engine sequentially, and actual click-through information associated with each one of the query chains; and smooth each one of the query chains using the actual click-through information associated with the query chain. To smooth one of the query chains comprises, for each one of search queries, q, in the query chain, where 2≦j≦n, if one of the network resources identified for qhas actually been clicked in connection with qby the corresponding one network user, then presume that the one network resource has been clicked in connection with one or more search queries, q, in the query chain, where 1≦k

Method And Apparatus For Generating Special-Purpose Image Analysis Algorithms

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US Patent:
20020186882, Dec 12, 2002
Filed:
Apr 25, 2002
Appl. No.:
10/134157
Inventors:
Carl Cotman - Santa Ana CA, US
Charles Chubb - Irvine CA, US
Yoshiyuki Inagaki - Irvine CA, US
Brian Cummings - Irvine CA, US
International Classification:
G06K009/00
US Classification:
382/165000
Abstract:
One embodiment of the invention provides a process and related apparatus for obtaining quantitative data about a 2-dimensional, 3-dimensional image, or other dimensional image. For example, the invention is capable of classifying and counting the number of entities an image contains. Each entity comprises an entity, structure, or some other type of identifiable portion of the image having definable characteristics. The entities located within an image may have a different shape, color, texture, or other definable characteristic, but still belong to the same classification. In other instances, entities comprising a similar color, and texture may be classified as one type while entities comprising a different color, and texture may be classified as another type. An image may contain multiple entities and each entity may belong to a different class. Thus, the system embodying the invention may quantify image data according to a set of changing criteria and derive one or more classifications for the entities in the image. Once the image data is classified, the total number of entities in the image is calculated and presented to the user. Put simply, embodiments of the invention provides a way for a computer to determine what kind of entities (e.g., entities) are in an image and counts the total number of entities that can be visually identified in the image. Another aspect of the invention is that the information utilized during a training process may be stored and applied across different images.

Method And Apparatus For Generating Special-Purpose Image Analysis Algorithms

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US Patent:
20080107330, May 8, 2008
Filed:
Jul 3, 2007
Appl. No.:
11/773289
Inventors:
Carl W. Cotman - Santa Ana CA, US
Charles F. Chubb - Irvine CA, US
Yoshiyuki Inagaki - Irvine CA, US
Brian Cummings - Irvine CA, US
International Classification:
G06K 9/00
US Classification:
382156
Abstract:
Provides quantitative data about a two or more dimensional image. Classifies and counts number of entities an image contains. Each entity comprises a structure, or some other type of identifiable portion having definable characteristics. The entities located within an image may have different shape, color, texture, etc., but still belong to the same classification. Alternatively, entities comprising a similar color/texture may be classified as one type while entities comprising a different color/texture may be classified as another type. May quantify image data according to set of changing criteria and derive one or more classifications for entities in image. I.e., provides a way for a computer to determine what kind of entities (e.g., entities) are in image and counts total number of entities visually identified in image. Information utilized during a training process may be stored and applied across different images.

Method And Apparatus For Generating Special-Purpose Image Analysis Algorithms

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US Patent:
20120121169, May 17, 2012
Filed:
Oct 6, 2011
Appl. No.:
13/267879
Inventors:
Carl W. Cotman - Santa Ana CA, US
Charles F. Chubb - Irvine CA, US
Yoshiyuki Inagaki - Irvine CA, US
Brian Cummings - Irvine CA, US
International Classification:
G06K 9/62
G06N 3/12
US Classification:
382156
Abstract:
Provides quantitative data about a two or more dimensional image. Classifies and counts number of entities an image contains. Each entity comprises a structure, or some other type of identifiable portion having definable characteristics. The entities located within an image may have different shape, color, texture, etc., but still belong to the same classification. Alternatively, entities comprising a similar color/texture may be classified as one type while entities comprising a different color/texture may be classified as another type. May quantify image data according to set of changing criteria and derive one or more classifications for entities in image. I.e., provides a way for a computer to determine what kind of entities (e.g., entities) are in image and counts total number of entities visually identified in image. Information utilized during a training process may be stored and applied across different images.
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Yoshiyuki L Inagaki from Santa Clara, CA, age ~66 Get Report