Titlebook: Intelligent Computing Systems; Second International Carlos Brito-Loeza,Arturo Espinosa-Romero Conference proceedings 2018 Springer Internat

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Object Recognition Using Hierarchical Temporal Memory, to develop object recognition using Computer Vision for daily tasks such as secure access, traffic management, and robotic behavior. For this research, four different machine learning algorithms have been developed to overcome the computer vision problem of object recognition. Hierarchical temporal

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Tree-Structured CNN for the Classification of Surgical Instruments, tree-structured convolutional neural networks for the classification of initially 5 different tools and later evaluated with 10, managing to develop a new way of classifying objects capable of differentiating elements with a high resemblance to each other. Through partial division of the categories

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AUGUR

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RAGE

Identification of Multimodal Signals for Emotion Recognition in the Context of Human-Robot Interact, specifically, the following emotions: happiness, anger, surprise and neutrality. We propose to implement a multiclass classifier that is based on two unimodal classifiers: one to process the input data from a video signal and another one that uses audio. On one hand, for detecting the human emotio

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大洪水

Mercantile

Analyzing Students Reviews of Teacher Performance Using Support Vector Machines by a Proposed Modelto identify emotions expressed in texts. Teacher evaluation is considered an important process in higher education institutions to measure teacher performance and implement constructive strategies to benefit students in their education. This paper describes the design and development of a Model with

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A Selective Segmentation Model for Inhomogeneous Images,global segmentation, where all the object boundaries in a given image are detected, for a large class of image segmentation tasks, only one object is required to be extracted. To successfully segment one single object, interactive/selective segmentation techniques has been delivered. However, the ex