Patents by Inventor Takashima Ryoichi

Takashima Ryoichi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Information processing method for determining weight of each feature in subjective hierarchical clustering
    Patent number: 8972407
    Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
    Type: Grant
    Filed: September 6, 2012
    Date of Patent: March 3, 2015
    Assignee: International Business Machines Corporation
    Inventors: Toru Nagano, Masafumi Nishimura, Takashima Ryoichi, Ryuki Tachibana
  • Information processing apparatus, method and program for determining weight of each feature in subjective hierarchical clustering
    Patent number: 8918396
    Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
    Type: Grant
    Filed: June 28, 2012
    Date of Patent: December 23, 2014
    Assignee: International Business Machines Corporation
    Inventors: Toru Nagano, Masafumi Nishimura, Takashima Ryoichi, Ryuki Tachibana
  • INFORMATION PROCESSING APPARATUS, METHOD AND PROGRAM FOR DETERMINING WEIGHT OF EACH FEATURE IN SUBJECTIVE HIERARCHICAL CLUSTERING
    Publication number: 20130006991
    Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
    Type: Application
    Filed: June 28, 2012
    Publication date: January 3, 2013
    Inventors: Toru Nagano, Masafumi Nishimura, Takashima Ryoichi, Ryuki Tachibana
  • INFORMATION PROCESSING METHOD FOR DETERMINING WEIGHT OF EACH FEATURE IN SUBJECTIVE HIERARCHICAL CLUSTERING
    Publication number: 20120330957
    Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
    Type: Application
    Filed: September 6, 2012
    Publication date: December 27, 2012
    Applicant: International Business Machines Corporation
    Inventors: Toru Nagano, Masafumi Nishimura, Takashima Ryoichi, Ryuki Tachibana