Titlebook: Computer Analysis of Images and Patterns; 16th International C George Azzopardi,Nicolai Petkov Conference proceedings 2015 Springer Interna

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书目名称Computer Analysis of Images and Patterns影响因子(影响力)




书目名称Computer Analysis of Images and Patterns影响因子(影响力)学科排名




书目名称Computer Analysis of Images and Patterns网络公开度




书目名称Computer Analysis of Images and Patterns网络公开度学科排名




书目名称Computer Analysis of Images and Patterns被引频次




书目名称Computer Analysis of Images and Patterns被引频次学科排名




书目名称Computer Analysis of Images and Patterns年度引用




书目名称Computer Analysis of Images and Patterns年度引用学科排名




书目名称Computer Analysis of Images and Patterns读者反馈




书目名称Computer Analysis of Images and Patterns读者反馈学科排名

helper-T-cells

Scale Estimation in Multiple Models Fitting via Consensus Clustering,ensus Clustering, a single-term model selection strategy relying on the principle of stability, thereby avoiding the explicit tradeoff between data fidelity (i.e., modeling error) and model complexity. In particular we tailored this model selection to the estimate of the inlier threshold of T-linkag

谦卑

密码

Optical Truck Tracking for Autonomous Platooning,obust pose estimation using artificial markers and a camera as the only sensor. Temporal coherence of image sequences is used in a Kalman filter to obtain precise estimates. The system is designed for and tested in off-road scenarios. A pose evaluation is performed in a simulation testbed.

柔软

Combination of Air- and Water-Calibration for a Fringe Projection Based Underwater 3D-Scanner,art of the calibration can be performed with low expenditure. This leads to an easy handling of the whole procedure. In this paper an underwater camera model is described which considers the refraction effects at the interfaces of the different media air, glass, and water, leading to a ray based pre

Lyme-disease

Lyme-disease

Spatially Aware Enhancement of BoVW-Based Image Retrieval Exploiting a Saliency Map, local features in which all of the features are uniformly weighed. Recently, researchers have focused on the similarity between the foregrounds of two images, because the foreground properly expresses the semantics of the image. Given an image, these methods approximate the likelihood that a local

夹克怕包裹

An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs,using the line graph structure are twofold. First, for a graph, its directed line graph is a dual representation and each vertex of the line graph represents a corresponding edge in the original graph. As a result, we can develop an edge-based matching kernel for graphs by aligning the vertices in t

树木心

The Virtues of Peer Pressure: A Simple Method for Discovering High-Value Mistakes,res often yield unintelligible solutions, require enormous amounts of labeled data, and still remain brittle and easily broken. In this paper, we present a method to efficiently and intuitively discover input instances that are misclassified by well-trained neural networks. As in previous studies, w

Decrepit

Binarization of MultiSpectral Document Images,manuscripts and MSI is used to gather more information compared to traditional RGB photographs or scans. The binarization method proposed makes use of a state-of-the-art binarization algorithm, which is applied on a single image taken from the stack of multispectral images. This output is then combi