{"product_id":"hypothesis-based-image-segmentation-a-machine-learning-approach-3838133714","title":"Hypothesis-based image segmentation: A Machine Learning Approach","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 3838133714\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Denecke, Alexander\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eThis thesis addresses the ?gure-ground segmentation problem in the context of complex systems for automatic object recognition. Firstly the problem of image segmentation in general terms is introduced, followed by a discussion about its importance for online and interactive acquisition of visual representations. Secondly a machine learning approach using arti?cial neural networks is presented. This approach on the basis of Generalized Learning Vector Quantization is investigated in challenging scenarios such as the real-time ?gure-ground segmentation of complex shaped objects under continuously changing environment conditions. The ability to ful?ll these requirements characterize the novelty of the approach compared to state-of-the-art methods. Finally the proposed technique is extended in several aspects, which yields a framework for object segmentation that is applicable to improve current systems for visual object learning and recognition.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":68178416632096,"sku":"NEW3838133714","price":181.0,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/51QfMjBo3tS.jpg?v=1794082689","url":"https:\/\/miakarts.com\/en-ca\/products\/hypothesis-based-image-segmentation-a-machine-learning-approach-3838133714","provider":"Miakarts Books","version":"1.0","type":"link"}