149 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
**u Tao
Chapter
Conference Paper
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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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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...
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Chapter and Conference Paper
Learning Cooking Techniques from YouTube
Cooking is a human activity with sophisticated process. Underlying the multitude of culinary recipes, there exist a set of fundamental and general cooking techniques, such as cutting, braising, slicing, and sa...
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Chapter and Conference Paper
Application of Decision-Tree Based on Prediction Model for Project Management
In recent years, with rapid development of China’s space program and aerospace technology, massive data of project management have been collected. However, provided massive data, there is plenty room to improv...
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Chapter and Conference Paper
Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks
Skyline queries play an important role in applications such as multi-criteria decision making and user preference systems. Recently, more attention has been paid to the problem of efficient skyline computation...
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Chapter and Conference Paper
iBLOB: Complex Object Management in Databases through Intelligent Binary Large Objects
New emerging applications including genomic, multimedia, and geo-spatial technologies have necessitated the handling of complex application objects that are highly structured, large, and of variable length. Curre...
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Chapter and Conference Paper
Dual Phase Learning for Large Scale Video Gait Recognition
Accurate gait recognition from video is a complex process involving heterogenous features, and is still being developed actively. This article introduces a novel framework, called GC2F, for effective and efficien...
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Chapter and Conference Paper
The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases
Besides topological relations and approximate relations, cardinal directions have turned out to be an important class of qualitative spatial relations. In spatial databases and GIS they are frequently used as sel...
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Chapter and Conference Paper
Time-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques
The ability to answer temporal-oriented questions based on clinical narratives is essential to clinical research. The temporal dimension in medical data analysis enables clinical researches on many areas, such...
