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Verden, Germany

Desai S.,University of Pune | Patil S.T.,VIT
2015 International Conference on Pervasive Computing: Advance Communication Technology and Application for Society, ICPC 2015 | Year: 2015

As data is growing rapidly day by day due to wide usage of social media, this social data will help business analyst as well as researchers to get the feedback about any service or product. Analysis of social media data can be used for many purposes like friend recommendation, product or service recommendation etc. There is need of such algorithms which will classify data accurately and will provide analysis results accurately. Also these algorithms need to scale rapidly with data sets. In this paper, Different phases of social media data mining are identified. We have studied algorithms whose training time remains same though the data size increases. We have implemented decision tree algorithm and compared it with other machine learning algorithms like NaiveBayes, Adaboost etc. It is found that decision tree algorithms gives accurate results as compared to other algorithms. In addition to that, out of different decision tree algorithms random decision tree (RDT) algorithm performs best than other decision tree algorithms like C4.5 or ID3. © 2015 IEEE. Source

An optical inspection system for an electronic circuit comprises sensors of images of the electronic circuit, at least two supports on which are intended to rest two parts of the electronic circuit and a device for modifying the position of each support, independently of one another.

Vit | Date: 2014-04-08

A three-dimensional image acquisition system including: at least two projectors aligned in a direction and suitable for illuminating a scene, the projection axes of the projectors defining a plane for each projector, and being turned toward the scene. A first and second camera are placed on one side of said plane, and a third and fourth camera placed on the other side of said plane. The optical axis of the first and second cameras form, with said plane, a different first and second angle, respectively, and the optical axis of the third and fourth cameras form, with said plane, a different third and fourth angle, respectively.

The invention relates to a method for identifying a material in a scene, including the following steps: lighting the scene (

A method for determining three-dimensional images of an object (Card) comprises projecting a display onto the object by means of a projector (P). A plurality of two-dimensional images of the object are acquired by at least one first image sensor (C), a relative movement of the object in relation to the assembly comprising the projector and the image sensor being carried out during the acquisitions of the images. A determination is made of the height of each point of the object as corresponding to an extremum of a function obtained from the acquired two-dimensional images.

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