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	Pattern Recognition Letters Elsevier Science Inc.         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 78 reviews Date Reviewed     Pattern classification and clustering: a review of partially supervised learning approaches Schwenker F., Trentin E. Pattern Recognition Letters 374-14, 2014.  Type: Article Building efficient classifiers for supervised machine learning is a must for many applications, ranging from automatic recommendation to network intrusion detection. Similarly, clusters developed in an unsupervised learning framework a... Apr 28 2015   Multi-label classification with Bayesian network-based chain classifiers Enrique Sucar L., Bielza C., Morales E., Hernandez-Leal P., Zaragoza J., Larrañaga P. Pattern Recognition Letters 4114-22, 2014.  Type: Article In the information age, with the paramount need to filter and extract useful information, pattern recognition and matching, a subfield of machine learning, contributes to gaining useful insights into knowledge and intelligence normally... Jul 3 2014   Image thresholding based on semivariance Beauchemin M. Pattern Recognition Letters 34(5): 456-462, 2013.  Type: Article Thresholding is a method of separating an image into background and foreground objects. Beauchemin presents a semivariance-based thresholding method to binarize black-and-white images. The author uses variograms, typically used in stat... Apr 14 2014   A combined approach for the binarization of handwritten document images Ntirogiannis K., Gatos B., Pratikakis I. Pattern Recognition Letters 353-15, 2014.  Type: Article The authors of this paper combine global and local methods for detecting faint characters, bleed-through, and large background ink stains, and propose an adaptive document image binarization method applied at the connected component le... Mar 25 2014   A new approach to estimate lacunarity of texture images Backes A. Pattern Recognition Letters 34(13): 1455-1461, 2013.  Type: Article Two new methods for discriminating textures in images, based on the estimation of texture image lacunarity, are proposed in this paper. The concept of lacunarity was introduced by Mandelbrot and “describes the texture pattern... Dec 12 2013   Vague C-means clustering algorithm Xu C., Zhang P., Li B., Wu D., Fan H. Pattern Recognition Letters 34(5): 505-510, 2013.  Type: Article Clustering data into fuzzy or vague categories is an essential task for data mining and information retrieval applications. In this paper, the authors propose adapting the classical fuzzy C-means (FCM) algorithm to vague sets, an exten... Jun 20 2013   Background subtraction based on phase feature and distance transform Xue G., Sun J., Song L. Pattern Recognition Letters 33(12): 1601-1613, 2012.  Type: Article Xue et al. present a new background subtraction algorithm for images with various degrees of complexity in this detailed paper. The high-level algorithm is presented in figure 7. At its core is a new phase-based model created for backg... Jun 7 2013   A study on the consistency and significance of local features in off-line signature verification Kovari B., Charaf H. Pattern Recognition Letters 34(3): 247-255, 2013.  Type: Article Online and off-line, automatic signature verification has been an active research topic for decades. Given carefully designed features and curated data, we usually see satisfactory performance, with reductions in equal error rate (EER)... Mar 21 2013   Symbol recognition using spatial relations Santosh K., Lamiroy B., Wendling L. Pattern Recognition Letters 33(3): 331-341, 2012.  Type: Article As a core module of graphical document image analysis, symbol recognition has generated rich literature aiming to localize and recognize graphical symbols in different applications such as recognition and interpretation of circuit diag... Jan 14 2013   Color based skin classification Khan R., Hanbury A., Stöttinger J., Bais A. Pattern Recognition Letters 33(2): 157-163, 2012.  Type: Article Accurate identification of skin regions in images is a vital step in many applications of image processing. Face detection, image understanding, blocking of offensive content--all utilize skin classification. As a result, ther... Aug 14 2012       Display 510152550100 per column
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