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Learning apparatus, leaning method and process

A technology of equipment and learning devices, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as over-learning, and achieve the effect of suppressing over-learning and high discrimination accuracy

Inactive Publication Date: 2011-07-27
SONY CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] However, even in the method using bagging, although the number of learning images is small, in the case of using image feature quantities expressed as learning images having vectors of hundreds to thousands of dimensions, overshooting is expected to occur. study

Method used

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  • Learning apparatus, leaning method and process
  • Learning apparatus, leaning method and process
  • Learning apparatus, leaning method and process

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Embodiment Construction

[0046] In the following, preferred exemplary embodiments for realizing the present invention will be described. The description will be in the following order:

[0047] 1. Example (an example in the case of generating a discriminator using the random feature amount of the learning image)

[0048] 2. Improvements

[0049] 1. Example

[0050] [Structure example of image classification device 1]

[0051] figure 1 It is a diagram illustrating a structural example of the image classification device 1 according to an embodiment of the present invention.

[0052] The image classification device 1 discriminates whether there is a predetermined discrimination target (for example, in each image among a plurality of images saved (retained) in the image classification device 1 figure 2 Watches shown in etc.).

[0053] In addition, the image classification device 1 divides the plurality of images into categories in which a predetermined authentication target exists and categories in which the predet...

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PUM

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Abstract

The present invention discloses a learning apparatus, a learning method and a process. The learning apparatus includes a learning section which learns, according as a learning image used for learning a discriminator for discriminating whether a predetermined discrimination target is present in an image is designated from a plurality of sample images by a user, the discriminator using a random feature amount including a dimension feature amount randomly selected from a plurality of dimension feature amounts included in an image feature amount indicating features of the learning image.

Description

Technical field [0001] The present invention relates to a learning device, a learning method, and a program, and more specifically, to a learning device, a learning method, and a program suitable for use in the case of training a discriminator, which is used to learn images based on a small amount of , To identify whether there is a predetermined identification target in the image. Background technique [0002] In the prior art, an image classification method is proposed for classifying multiple images into categories corresponding to the subject of the image, and generating image clusters including classified images for each category. [0003] For example, in this image classification method, a discriminator that discriminates whether a predetermined discrimination target (for example, a human face) exists in an image is used to discriminate whether a predetermined discrimination target exists in each of a plurality of images. [0004] In addition, according to the authentication r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06V10/771G06V10/774
CPCG06K9/6253G06K9/6256G06K9/6263G06K9/6261G06K9/6228G06V10/771G06V10/945G06V10/774G06F18/211G06F18/2178G06F18/214G06F18/40
Inventor 本间俊一岩井嘉昭芦原隆之
Owner SONY CORP
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