In this paper, we design the hybrid clustering algorithms, which involve two level clustering. At each of the levels, users can select the k-means, hierarchical or SOM clustering techniques. Unlike the existing cluster analysis techniques, the hybrid clustering approach developed here represents the original data set using a smaller set of prototype vectors (cluster means), which allows efficie...

Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of full volumetric images. In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of seven abdominal structures (artery, vein, liver, spleen, stomach, gallbladder, and pancreas) can achieve competitive segmentation results, while avoiding the need ...

Strategic decisions in a supply chain are the most important decisions for petroleum production systems. These decisions, due to high costs of transportation and storing, are costly and affected by the tactical and operational decisions in uncertain situations. In this article, we focus on designing a downstream segment for a supply chain of petroleum production systems. For this purpose, we wi...

Most techniques for computer classification of multispectral scanner data involve a "single-stage" approach in which every pixel in the data is classified in a single step, using a single set of training statistics and a single set of wave length bands. Hierarchical classifiers, on the other hand, involve a sequence of classification steps, each of which can involve a different wavelength band ...

This paper describes our eeorts in designing a two-stage recognizer with the objective of developing a multi-domain speech understanding system. We envisage one rst-stage recognition engine that is domain-independent, and multiple second-stage systems specializing in individual domains. A major novelty in our initial two-stage design is a front-end that incorporates angie-based hierarchical sub...

This paper proposes methods for designing, tracking and coding hierarchical 2D content-based mesh representations. The design procedure consists of constructing a ne-to-coarse hierarchy of Delaunay meshes, using image-and shape-based criteria for mesh geometry simpliication. Hierarchical tracking employs a coarse-tone strategy with mesh-based motion vector optimization. We introduce new techniq...