17 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
**ngli Li
-
Article
An algorithm of nonnegative matrix factorization under structure constraints for image clustering
Nonnegative matrix factorization (NMF) is a crucial method for image clustering. However, NMF may obtain low accurate clustering results because the factorization results contain no data structure information....
-
Article
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems
As knowledge graphs have attracted enormous attention from researchers, much effort has been invested in recommendation systems to mine user preferences effectively. In particular, knowledge graphs, which conv...
-
Article
A learned index for approximate kNN queries in high-dimensional spaces
Approximate k-Nearest Neighbor (kNN) search in high-dimensional spaces is a fundamental problem in computer systems and applications. However, traditional indexes for kNN search do not scale gracefully to mass...
-
Chapter and Conference Paper
Efficient Source Selection for Error Detection via Matching Dependencies
Data dependencies have been widely used in error detection. However, errors might not be detected when the target data set is sparse and no conflicts occur. With a rapid increase in the number of data sources ...
-
Chapter and Conference Paper
Source Selection for Inconsistency Detection
Inconsistencies in a database can be detected based on violations of integrity constraints, such as functional depencies (FDs). In big data era, many related data sources give us the chance of detecting incons...
-
Chapter and Conference Paper
Integration of Big Data: A Survey
Data integration provides users a uniform interface for multiple heterogonous data sources. This problem has attracted a large amount of attention from both research and industry areas. In this paper, we overv...
-
Chapter and Conference Paper
Hyperspectral Image Classification Based on Empirical Mode Decomposition and Local Binary Pattern
Traditional hyperspectral image classification methods always focused on spectral information, and lots of spatial information was neglected. Therefore, this paper introduces the spatial texture information in...
-
Chapter and Conference Paper
A Fast Granular Method for Classifying Incomplete Inconsistent Data
Today extracting knowledge from “inferior quality” data that is characterized by incompleteness and inconsistency is an unavoidable and challenging topic in the field of data mining. In this paper, we propose ...
-
Chapter and Conference Paper
Feature Extraction for Effective Content-Based Cloth Image Retrieval in E-Commerce
Cloth image retrieval in E-Commerce is a challenging task. In this paper, we propose an effective approach to solve this problem. Our work chooses three features for retrieval: (1) description (2) category (3...
-
Chapter and Conference Paper
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Acquisition of the fetal abdominal standard plane (FASP) is crucial for prenatal ultrasound diagnosis. However, it requires a thorough knowledge of human anatomy and substantial experience. In this paper, we p...
-
Article
Solving non-negative matrix factorization by alternating least squares with a modified strategy
Non-negative matrix factorization (NMF) is a method to obtain a representation of data using non-negativity constraints. A popular approach is alternating non-negative least squares (ANLS). As is well known, i...
-
Chapter and Conference Paper
Research on Quality Improvement of Polarization Imaging in Foggy Conditions
A new method was presented to improve quality of polarization imaging in foggy weather. In this method, two state-of-art algorithms were used to defog three polarization direction images by polarization imagin...
-
Article
Notes on two temporal structure–based methods for blind extraction of fetal electrocardiogram
Blind extraction of fetal electrocardiogram from the composite maternal electrocardiogram without noise and with additive Gaussian white noise (AGWN) is achieved by Barros and Cicochi (Neural Computat 13:1995–...
-
Article
A reference-based blind source extraction algorithm
By utilizing a priori information available as reference, constrained independent component analysis (cICA) or independent component analysis with reference (ICA-R) achieves some advantages over other methods....
-
Chapter and Conference Paper
Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams
Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams, rank functions do not always represent users’ intentions. This paper addresses this p...
-
Chapter
Research on Rough Set Theory and Applications in China
This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description ...
-
Chapter and Conference Paper
Efficient Time Series Data Classification and Compression in Distributed Monitoring
As a key issue in distributed monitoring, time series data are a series of values collected in terms of sequential time stamps. Requesting them is one of the most frequent requests in a distributed monitoring ...
