180 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
**u Tao
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Article
Semisupervised learning from different information sources
This paper studies the use of a semisupervised learning algorithm from different information sources. We first offer a theoretical explanation as to why minimising the disagreement between individual models co...
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Article
Optimizing complex queries based on similarities of subqueries
As database technology is applied to more and more application domains, user queries are becoming increasingly complex (e.g. involving a large number of joins and a complex query structure). Query optimizers i...
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Article
Using discriminant analysis for multi-class classification: an experimental investigation
Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the elegant theory behind large-margin hyp...
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Chapter and Conference Paper
N-Step PageRank for Web Search
PageRank has been widely used to measure the importance of web pages based on their interconnections in the web graph. Mathematically speaking, PageRank can be explained using a Markov random walk model, in wh...
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Chapter and Conference Paper
Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization
In many applications, we need to cluster large-scale data objects. However, some recently proposed clustering algorithms such as spectral clustering can hardly handle large-scale applications due to the comple...
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Article
Supervised tensor learning
Tensor representation is helpful to reduce the small sample size problem in discriminative subspace selection. As pointed by this paper, this is mainly because the structure information of objects in computer ...
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Chapter
Personalized Privacy Preservation
Unlike conventional methods that exert the same amount of privacy control over all the tuples in the microdata, personalized privacy preservation applies various degrees of protection to different tuples, subject...
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Article
SVM based adaptive learning method for text classification from positive and unlabeled documents
Automatic text classification is one of the most important tools in Information Retrieval. This paper presents a novel text classifier using positive and unlabeled examples. The primary challenge of this probl...
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Article
Clustering based on matrix approximation: a unifying view
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. Recently, a number of methods have b...
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Chapter and Conference Paper
Dimension-Specific Search for Multimedia Retrieval
Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause possible performance limitation, we propose the first Dimension-speci...
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Chapter and Conference Paper
Video Annotation System Based on Categorizing and Keyword Labelling
In this work, we demonstrate an automatic video annotation system which can provide users with the representative keywords for new videos. The system explores the hierarchical concept model and multiple featur...
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Chapter and Conference Paper
Concept-Based, Personalized Web Information Gathering: A Survey
Web information gathering surfers from the problems of information mismatching and overloading. In an attempt to solve these fundamental problems, many works have proposed to use concept-based techniques to pe...
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Chapter and Conference Paper
Adding Integrity Constraints to the Semantic Web for Instance Data Evaluation
This paper presents our work on supporting evaluation of integrity constraint issues in semantic web instance data. We propose an alternative semantics for the ontology language, i.e., OWL, a decision procedur...
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Chapter and Conference Paper
Dynamic Video Collage
This demo presents a video visualization technique named Dynamic Video Collage (DVC). By selecting representative frames, extracting their regions of interest, constructing collages with the gradually coming f...
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Chapter and Conference Paper
Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis
This paper proposes a new gene selection (or feature selection) method for DNA microarray data analysis. In the method, the t-statistic and support vector machines are combined efficiently. The resulting gene sel...
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Chapter and Conference Paper
Video Reference: A Video Question Answering Engine
Community-based question answering systems have become very popular for providing answers to a wide variety of ”how-to” questions. However, most such systems present only textual answers. In many cases, users ...
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Chapter and Conference Paper
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K ≥ 1
In this paper, a novel prototype reduction algorithm is proposed, which aims at reducing the storage requirement and enhancing the online speed while retaining the same level of accuracy for a K-nearest neighbor ...
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Chapter and Conference Paper
Cost Sensitive Classification in Data Mining
Cost-sensitive classification is one of mainstream research topics in data mining and machine learning that induces models from data with unbalance class distributions and impacts by quantifying and tackling t...
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Chapter and Conference Paper
Sensing Geographical Impact Factor of Multimedia News Events for Localized Retrieval and News Filtering
News materials are reports on events occurring in a given time and location. Looking at the influence of individual event, an event that has news reported worldwide is strategically more important than one tha...
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Chapter and Conference Paper
The Accuracy Enhancements of Virtual Antenna for Location Based Services
Measurement report (MR) base methods are a kind of cell identifier (CI) base methods whose parameters could be extracted from MRs and the cell configuration database (CCD). They are utilized for location based...
