INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM

• US 20110029469A1
• Filed: 07/29/2010
• Published: 02/03/2011
• Est. Priority Date: 07/30/2009
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: YAMADA, Hideshi
• Application Number:
  US12/845,968
• Publication Number:
  US 20110029469A1
• Time in Patent Office: Days
• US Class Current: 706/14
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06F 18/2321 using statistics or function optimisation, e.g. modelling of probability density functions
• CPC Class Codes: G06F 18/2415 based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
• CPC Class Codes: G06V 10/763 Non-hierarchical techniques, e.g. based on statistics of modelling distributions

Abstract

An information processing apparatus, which performs setting of a mixture model function representing a mixture model along with adaptively adjusting the number of model components mixed in the mixture model, includes an acquisition section configured to acquire a first data sample and a second data sample, both of which are composed of multi-dimensions; a mixture-model-function generation section configured to generate a mixture model function on the basis of the first data sample; a mixture-model-function goodness-of-fit calculation section configured to calculate a goodness of fit for the mixture model function on the basis of the second data sample; and a mixture-model-function update section configured to update the mixture model function so as to adjust the number of model components mixed in a mixture model, which are represented by the mixture model function, on the basis of the goodness of fit for the mixture model function.

Claims

1. An information processing apparatus which performs setting of a mixture model function representing a mixture model along with adaptively adjusting the number of mixture model components included in the mixture model, the information processing apparatus comprising:

acquisition means for acquiring a first data sample and a second data sample, both of which are composed of multi-dimensions;

mixture-model-function generation means for generating a mixture model function on the basis of the first data sample;

mixture-model-function goodness-of-fit calculation means for calculating a goodness of fit for the mixture model function on the basis of the second data sample; and

mixture-model-function update means for updating the mixture model function so as to adjust the number of model components mixed in a mixture model, which is represented by the mixture model function, on the basis of the goodness of fit for the mixture model function.

2. The information processing apparatus according to claim 1, further comprising:

goodness-of-fit determination means for determining whether the goodness of fit for the mixture model function having been updated is within an allowable range or not, by comparing a goodness of fit for the mixture model function having been updated by the mixture-model-function update means and a goodness of fit for the mixture model function before being updated,

wherein, if it is determined by the goodness-of-fit determination means that the goodness of fit for the mixture model function having been updated is not within the allowable range, the mixture-model-function update means further updates the mixture model function.

3. The information processing apparatus according to claim 1,

wherein the mixture-model-function generation means generates the mixture model function for the second data sample, in addition to the mixture model function for the first data sample, and

wherein the mixture-model-function goodness-of-fit calculation means calculates the goodness of fit on the basis of likelihoods corresponding to respective mixture model functions for the first data sample and the second data sample.

4. The information processing apparatus according to claim 1, wherein the mixture-model-function update means for updating the mixture model function so as to perform adjustment of the number of model components by splitting data forming a model component having the largest eigenvalue among the model components mixed in the mixture model represented by the mixture model function.

5. The information processing apparatus according to claim 4, further comprising:

data inner product calculation means for obtaining a data inner product by calculating an inner product between each piece of data, which is included in the first data sample and forms a model component having the largest eigenvalue among model components which are mixed in the mixture model represented by the mixture model function, and an eigenvector for the each piece of data which forms the model component having the largest eigenvalue; and

average inner product calculation means for obtaining an average inner product by calculating an inner product between an average vector obtained from each piece of data, which is included in the first data sample and forms a model component having the largest eigenvalue among model components which are mixed in the mixture model represented by the mixture model function, and an eigenvector for the each piece of data which forms the model component having the largest eigenvalue,

wherein the mixture-model-function update means updates the mixture model function so as to perform adjustment of the number of model components by splitting the pieces of data forming the model component having the largest eigenvalue into two portions thereof in accordance with a magnitude relation between the data inner product and the average inner product.

6. The information processing apparatus according to claim 1,

wherein the mixture-model-function goodness-of-fit calculation means calculates a goodness of fit for each of model-function components forming the mixture model function, and

wherein the mixture-model-function update means performs adjustment for model-function components having a relatively low goodness of fit among the goodnesses of fit for each of the model-function components.

7. An information processing method, in which a mixture model function representing a mixture model is set along with adaptively adjusting the number of mixture model components included in the mixture model, the information processing method comprising the steps of:

acquiring a first data sample and a second data sample, both of which are composed of multi-dimensions;

generating a mixture model function on the basis of the first data sample;

calculating a goodness of fit for the mixture model function on the basis of the second data sample; and

updating the mixture model function so as to adjust the number of model components mixed in a mixture model, which are represented by the mixture model function, on the basis of the goodness of fit for the mixture model function.

8. A program causing a computer, which performs control so as to cause an information processing apparatus to perform setting of a mixture model function representing a mixture model along with adaptively adjusting the number of mixture model components included in the mixture model, to execute processing comprising the steps of:

acquiring a first data sample and a second data sample, both of which are composed of multi-dimensions;

generating a mixture model function on the basis of the first data sample;

calculating a goodness of fit for the mixture model function on the basis of the second data sample; and

updating the mixture model function so as to adjust the number of model components mixed in a mixture model, which are represented by the mixture model function, on the basis of the goodness of fit for the mixture model function.

9. An information processing apparatus which performs setting of a mixture model function representing a mixture model along with adaptively adjusting the number of mixture model components included in the mixture model, the information processing apparatus comprising:

an acquisition section configured to acquire a first data sample and a second data sample, both of which are composed of multi-dimensions;

a mixture-model-function generation section configured to generate a mixture model function on the basis of the first data sample;

a mixture-model-function goodness-of-fit calculation section configured to calculate a goodness of fit for the mixture model function on the basis of the second data sample; and

a mixture-model-function update section configured to update the mixture model function so as to adjust the number of model components mixed in a mixture model, which are represented by the mixture model function, on the basis of the goodness of fit for the mixture model function.