Titlebook: ;

好色

Graph-Based Representation of Symbolic Musical Datang. A novel approach is introduced that represents melodic progressions as graph structures providing a dissimilarity measure which complies with the invariances in the human perception of melodies. That way, music collections can be processed by non-Euclidean variants of Neural Gas or Self-Organizi

誓言

Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methodsh an increased risk of Nasopharyngeal Carcinoma (NPC) based on a case-control epidemiologic study. This framework builds on the use of Bayesian network for representing statistical dependencies between the random variables. BN is directed acyclic graphs that models the joint multivariate probability

GONG

Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapespe can be analyzed through its decomposition into a collection of components with a simpler topology. Here, we consider a decomposition of a non-manifold shape into components which are almost manifolds, and we present a novel graph representation which highlights the non-manifold singularities shar

上漲

A Graph Based Data Model for Graphics Interpretation graph algorithms as well as higher level processing. To improve algorithmic efficiency, spatial indexing can be applied. Implementation aspects are discussed as well. An earlier version of the DG model has been applied for interpretation of Hungarian cadastral maps. Although this paper gives exampl

隱士

Tracking Objects beyond Rigid Motionor example color histograms) is similar to other nearby regions or to the background. Instead of tracking multiple features independently, we propose an approach that integrates the underlying structure into the tracking process using an attributed graph. The independent tracking processes are drive

connoisseur

北極人

碎石

光滑

本土

Homeomorphic Alignment of Edge-Weighted Treeshe skeleton of the 3D shape to a pre-specified tree model. Unfortunately, the tree representation can contain vertices that split limbs in multiple parts, which do not allow a good match by usual methods. To solve this problem, we propose a new alignment, taking in account the homeomorphism between