搜索结果: 1-15 共查到“信息与通信工程 clustering”相关记录17条 . 查询时间(0.062 秒)
DENDROGRAM CLUSTERING FOR 3D DATA ANALYTICS IN SMART CITY
Smart City Dendrogram Clustering 3D Spatial Database 3D GIS Data Analytics Data Structure
2018/11/9
Smart city is a connection of physical and social infrastructure together with the information technology to leverage the collective intelligence of the city. Cities will build huge data centres. Thes...
MINING CO-LOCATION PATTERNS WITH CLUSTERING ITEMS FROM SPATIAL DATA SETS
Spatial data mining Clustering items Co-location patterns with clustering items Neighbor relationship Praticipation index
2018/5/17
The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the spatial data mining. Co-location patterns discovery is an important branch in spatial data minin...
LIDAR Data Classification Using Hierarchical K-Means Clustering
Remote Sensing LIDAR Hierarchical Classification DTM Multiresolution
2015/12/8
This paper deals with lidar point cloud filtering and classification for modelling the Terrain and more generally for scene segmentation. In this study, we propose to use the well-known K-means cluste...
Cloud Model and Hierarchical Clustering based Spatial Data Mining Method and Application
Cloud Model Hierarchical Clustering Data Mining Weather Classification
2015/12/2
The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values...
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 ...
CLGVSM: Adapting Generalized Vector Space Model to Cross-lingual Document Clustering
CLGVSM Adapting Generalized Vector Space Model Cross-lingual Document Clustering
2013/6/27
Cross-lingual document clustering (CLDC) is the task to automatically or-ganize a large collection of cross-lingual documents into groups considering con-tent or topic. Different from the tradition-al...
Using Class Purity as Criterion for Speaker Clustering in Multi-Speaker Detection Tasks
Using Class Purity Criterion Speaker Clustering Multi-Speaker Detection Tasks
2013/6/28
Speaker clustering is an important step in multi-speaker detection tasks and its performance directly affects the speaker detection performance. It is observed that the shorter t...
OBJECT EXTRACTION FROM LIDAR DATA USING AN ARTIFICIAL SWARM BEE COLONY CLUSTERING ALGORITHM
Clustering LIDAR Artificial Bee Colony Urban Area Object Extraction
2016/3/1
Light Detection and Ranging (LIDAR) systems have become a standard data collection technology for capturing object surface
information and 3D modeling of urban areas. Although, LIDAR systems provide...
COMPLEX SCENE ANALYSIS IN URBAN AREAS BASED ON AN ENSEMBLE CLUSTERING METHOD APPLIED ON LIDAR DATA
LIDAR Feature Object Extraction Training Fusion Urban Building
2016/3/1
3D object extraction is one of the main interests and has lots of applications in photogrammetry and computer vision. In recent
years, airborne laser-scanning has been accepted as an effective 3D da...
CLUSTERING OF LIDAR DATA USING PARTICLE SWARM OPTIMIZATION ALGORITHM IN URBAN AREA
Clustering LIDAR Particle swarm optimization Urban Area Object Extraction
2016/2/29
One of the fundamental steps in the transformation of the LIDAR data into the meaningful objects in urban area involves their
segmentation into consistent units through a clustering process. Neverth...
Clustering-Based Cascade SVM Assemble fro Adaptive Relevance Feedback Learning
Clustering-Based SVM Adaptive Relevance Feedback Learning
2010/12/17
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
Hierarchical Background Subtraction using Local Pixel Clustering
Hierarchical Background Local Pixel Clustering
2010/12/17
We propose a robust hierarchical background subtraction technique which takes the spatial relations of neighboring pixels in a local region into account to detect objects in difficult conditions. Our ...
A Two-Phase Spectral Bigraph Co-clustering Approach for the 'Who Rated What' Task
Two-Phase Spectral Bigraph Co-clustering Approach the 'Who Rated What' Task
2010/12/17
This paper describes our approach for the “Who Rated What” task in KDD Cup 2007 competition. Given the Netflix data set that consists of more than 100 million ratings between 1998 and 2005, this task ...
Extracting Story Units in Sports Video Based on Unsupervised Video Scene Clustering
Sports Video Unsupervised Video Scene Clustering
2010/12/16
Many sports videos such as archery, diving and tennis have repetitive structure patterns. They are reliable clues to generate highlights, summarization and automatic annotation.
In this paper, we pre...
UBM Based Speaker Segmentati on and Clustering for 2-Speaker Detection
Speaker segmentation Speaker clustering Multi-speaker Speaker Detection
2013/6/28
In this paper, a speaker segmentation method based on log-likelihood ratio score (LLRS) over universal background model (UBM) and a speaker clustering method based on difference of log-likelihood scor...