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Feature representation plays an important role in text classification. Feature mapping based on labels information is an algorithm suitable for Binary Relevance. Compared with the conventional text representation, it makes the dimension of the text under control by means of word embedding. More importantly, it takes full advantage of the general characteristics of the label on text representation...
Petechia Spot ranks itself among the most significant pathological features utilized in the practice of the Tongue Diagnosis because it can reveal the existence of tiny hemorrhage in some organ inside the body. In this paper, an automated feature extraction method for recognition of Petechia Spot in tongue image is proposed employing marker-based watershed transform and morphological filter. An efficient...
Petechia Dot ranks itself among the most significant pathological features utilized in the practice of the Tongue Diagnosis because it can reveal the existence of tiny hemorrhage in some organ inside the body. In this paper, a feature extraction method aiming for recognition of the Petechia Dot in tongue image is proposed employing graylevel-height based thresholding, Top-hat high-pass filtering,...
Typical low level segmentation method like level set method can be explained in maximum a posteriori estimation (MAP) for pixel label. In this paper, CRFs model is introduced in label estimation combined with level set to produce fast low level process and accurate high level inference. The energy term in level set evolution is also extended to contain object spatial factors, gradient is provided...
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