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Inference on Segmented Polynomial Models
Biometrics, 1996Summary: Segmented polynomial regression models with unknown change-points are used in a wide variety of biological settings. The application that stimulated this work uses a segmented polynomial model to examine the optimal hematocrit hypothesis. We discuss problems in the fitting of these models and compare, by simulation, two methods of inference in
Zhan, M. +5 more
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Markov models of genome segmentation
Physical Review E, 2007We introduce Markov models for segmentation of symbolic sequences, extending a segmentation procedure based on the Jensen-Shannon divergence that has been introduced earlier. Higher-order Markov models are more sensitive to the details of local patterns and in application to genome analysis, this makes it possible to segment a sequence at positions ...
Vivek, Thakur +2 more
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Model-based learning of segmentations
Proceedings of 13th International Conference on Pattern Recognition, 1996A method for integrating image segmentation information into geometric models is presented. The resulting object representation has advantages of both model-based and view-based representations, in that model geometry plus learned appearance information is used to improve the prediction of object appearance over purely geometric methods.
Anthony Hoogs, Ruzena Bajcsy
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Mesh Segmentation and Model Extraction
2012High precision laser scanners deliver virtual surfaces of industrial objects whose accuracy must be evaluated. But this requires the automatic detection of reliable components such as facets, cylindric and spherical parts, etc. The method described here finds automatically parts in the surface to which geometric primitives can be fitted.
Julie Digne +3 more
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Leaf Segmentation by Functional Modeling
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019The use of Unmanned Aerial Vehicles (UAVs) is a recent trend in field based plant phenotyping data collection. However, UAVs often provide low spatial resolution images when flying at high altitudes. This can be an issue when extracting individual leaves from these images. Leaf segmentation is even more challenging because of densely overlapping leaves.
Yuhao Chen 0001 +4 more
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Multiscale background modelling and segmentation
2009 16th International Conference on Digital Signal Processing, 2009A new multiscale approach to motion based segmentation of objects in video sequences is presented. While image features extracted at multiple scales are commonly used within the pattern recognition community, they have seldom been employed for background modelling and subtraction. The paper describes a methodology for maintaining an explicit background
Dubravko Culibrk +2 more
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Perspective Image Modeling for Segmentation
2005 IEEE International Conference on Systems, Man and Cybernetics, 2006This paper proposes a novel thresholding method for real time perspective image segmentation based on an image gray level probability distribution model. A perspective image can be modeled as a mixture of the background and the object in the image, which are farther modeled as two independent Gaussian distributions.
Lei He 0007, Bin Chen 0022, Ping Liu
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1986
The formation of segmented structures is a very important step during development of higher organisms. With the formation of somites in vertebrates or the segments in insects the primary anteroposterior pattern of the organisms is laid down. Segmentation is the result of the superposition of two pattern formation processes.
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The formation of segmented structures is a very important step during development of higher organisms. With the formation of somites in vertebrates or the segments in insects the primary anteroposterior pattern of the organisms is laid down. Segmentation is the result of the superposition of two pattern formation processes.
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A Classification Model for Customer Segmentation
2011Customer management is one of the important aspects in retail business. It is vital for the retailers to adopt different methodologies by which high valued customers can be identified, in order to perform suitable target marketing effectively. In this paper, a novel model is proposed for classifying retail customers into different categories based on ...
Chithra Ramaraju, Nickolas Savarimuthu
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Scaled random segmental models
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002We present the concept of a scaled random segmental model, which aims to overcome the modeling problem created by the fact that segment realizations of the same phonetic unit differ in length. In the scaled model the variance of the random mean trajectory is inversely proportional to the segment length.
Jacob Goldberger, David Burshtein
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