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TARGET GRAPH MATCHING FOR BUILDING RECONSTRUCTION
3D Reconstruction data fusion laser scanner data buildingsz
2016/2/29
We present a building reconstruction approach, which is based on a target graph matching algorithm to relate laser data with building
models. Establishing this relation is important for adding build...
Smooth compression, Gallager bound and Nonlinear sparse-graph codes
Data compression data smoothness coding
2015/8/21
A data compression scheme is defined to be smooth if its image (the codeword) depends gracefully on the source (the data). Smoothness is a desirable property in many practical contexts, and widely use...
TRACTABLE AND CONSISTENT RANDOM GRAPH MODELS
Random Networks Random Graphs Exponential Random Graph Models
2015/7/15
addressing the problem that standard techniques of estimating ERGMs have
been shown to have exponentially slow mixing times for many specifications, we show
that by reformulating network forma...
Analyzing the Facebook Friendship Graph
Online social network the emerging phenomenon of network network data subscribe to the user
2015/7/15
Online Social Networks (OSN) during last years acquired a huge and increasing popularity as one of the most important emerging Web phenomena, deeply modifying the behavior of users and contributing to...
基于L1-Graph表示的标记传播多观测样本分类算法
稀疏表示 L1Graph 标记传播 多观测样本分类
2013/8/19
同类样本被认为是分布在同一个高维观测空间的低维流形上，针对多观测样本分类如何利用这一流形结构的问题，提出基于L1-Graph表示的标记传播多观测样本分类算法。首先基于稀疏表示的思路构造L1-Graph，进而得到样本之间的相似度矩阵，然后在半监督分类标记传播算法的基础上，限制所有的观测样本都属于同一个类别的条件下，得到一个具有特殊结构的类标矩阵，最后把寻找最优类标矩阵的计算转化为离散目标函数优化问题...
This paper interprets image interpolation as a channel decoding problem and proposes
a tanner graph based interpolation framework, which regards each pixel in an image as a
variable node and the loc...
Multi-Polarity Text Segmentation Using Graph Theroy
Multi-Polarity Text Segmentation Graph Theroy
2010/12/17
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation methods have difficulties i...
Multiple Instance Boost using Graph Embedding Based Decision Stump for Pedestrian Detection
Multiple Instance Boost Graph Embedding Pedestrian Detection
2010/12/17
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure,various clothing of human as well as viewpoints. In this paper, we a...
Place Retrieval with Graph-based Place-View Model
Place Retrieval Graph-based Place-View Model
2010/12/17
Places in movies and sitcoms could indicate higher-level semantic cues about the story scenarios and actor relations. This paper presents a novel unsupervised framework for efficient place retrieval i...
Improving the Image Retrieval Results via Topic Coverage Graph
Image retrieval re-rank topic coverage
2010/12/16
In the area of image retrieval, search engines are tender to retrieve images that are most relevant to the users’ queries. Nevertheless, in most cases,queries cannot be represented just by several que...
Video Coding by Texture Analysis and Synthesis Using Graph Cut
texture analysis and synthesis video coding graph cut
2010/12/16
A new approach to analyze and synthesize texture regions in video coding is presented, where texture blocks in video sequence are synthesized using graph cut technique. It first identifies the texture...
Enhance the Alignment Accuracy of Active Shape Models Using Elastic Graph Matching
Active Shape Models Elastic Graph Matching
2010/12/14
Active Shape Model (ASM) is one of the most popular methods for image alignment. To improve its matching
accuracy, in this paper, ASM searching method is combined with a simplified Elastic Bunch Grap...
