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DATUM FEATURE EXTRACTION AND DEFORMATION ANALYSIS METHOD BASED ON NORMAL VECTOR OF POINT CLOUD
Deformation Analysis Point Cloud Normal Vecto Datum Feature Cubic B-spline Curve
2018/5/15
In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extractin...
Knowledge Discovery by Spatial Clustering Based on Self-Organizing Feature Map and a Composite Distance Measure
Self-Organizing Feature Map Spatial Clustering Knowledge Discovery Data Mining
2015/12/2
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
Research on Change-of-Feature Based Spatio-Temopral Object Relational Model
Feature Feature Change Event State Orient-Relational Data Model Spatio-Temporal Data Model
2015/12/1
The spatio-temporal data is our cognition to external matter and the spatio-temporal data model is the fundamental basic to manage the spatio-temporal data. The spatio-temporal object is always changi...
Successive pattern learning based on test feature classifier and its application to dynamic recognition problems
classifi cation test feature classifi er successive learning dynamic recognition problem
2015/8/25
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
Robust Visual Tracking Using Feature-based Visual Attention
Robust Visual Tracking Feature-based Visual Attention
2010/12/21
Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the
searched target, which ...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT BLOB TRACKING FEATURE SELECTION SCALE ADAPTATION
2010/12/17
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT ADAPTIVE FEATURE SELECTION SCALE ADAPTATION
2010/12/17
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we
propose a method to embe...
Semantic scoring based on Small-World Phenomenon for feature selection in text mining
Semantic scoring Small-World Phenomenon feature selection in text mining
2010/12/16
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reserva...