搜索结果: 1-15 共查到“信息处理技术 Feature”相关记录17条 . 查询时间(0.031 秒)
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
2018/4/30
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...
Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
feature selection image features pattern classification
2015/7/28
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
Robust Visual Tracking Using Feature-based Visual Attention
Robust Visual Tracking Feature-based Visual Attention
2010/6/30
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 ...
Robust Background Modeling via Standard Variance Feature
Robust Background Modeling Standard Variance Feature
2010/6/30
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance
feature is the standard varia...
Locally Assembled Binary (LAB) Feature for Fast and Accurate Face Detection,
Locally Assembled Binary Face Detection
2008/12/31
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...
A Robust Feature Extraction Algorithm for Audio Fingerprinting
Feature Extraction Algorithm Audio Fingerprinting
2008/12/31
In this paper, we present a new feature extraction algorithm which can generate robust and reliable feature in a fingerprint system. This algorithm is referred to as weighted ASF (WASF). The feature i...
DRM: Dynamic Region Matching for Image Retrieval Using Probabilistic Fuzzy Matching and Boosting Feature Selection
Dynamic Region Matching Image Retrieval Probabilistic Fuzzy Matching
2008/12/31
This paper considers the semantic gap in content-based image retrieval from two aspects: (1)
irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT BLOB TRACKING FEATURE SELECTION SCALE ADAPTATION
2007/12/31
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
2007/12/31
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
2006/12/31
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...
Text Detection in Images Using Texture Feature from Strokes
text detection wavelet decomposition co-occurrence matrix
2006/12/31
Text embedded in images or videos is indispensable to understand multimedia information. In this paper we propose a new text detection method using the texture feature derived from text strokes. The m...
Language Model Adaptation Based on the Classification of a trigram’s Language Style Feature
Language Model Adaptation Based Classification trigram’s Language Style Feature
2005/11/30
In this paper, an adaptati on method of the language style of a language model is proposed based on the differences between spoken and written language. Several interpolation methods based on trigram...