78 Result(s)
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Article
An integrated system for building enterprise taxonomies
Although considerable research has been conducted in the field of hierarchical text categorization, little has been done on automatically collecting labeled corpus for building hierarchical taxonomies. In this...
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Chapter and Conference Paper
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown viewpoint and pose. This pap...
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Chapter and Conference Paper
Scene Segmentation for Behaviour Correlation
This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both locally and globally in a given scene. We ...
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Chapter and Conference Paper
Discriminative Locality Alignment
Fisher’s linear discriminant analysis (LDA), one of the most popular dimensionality reduction algorithms for classification, has three particular problems: it fails to find the nonlinear structure hidden in th...
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Chapter and Conference Paper
K-Subspace Clustering
The widely used K-means clustering deals with ball-shaped (spherical Gaussian) clusters. In this paper, we extend the K-means clustering to accommodate extended clusters in subspaces, such as line-shaped clust...
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Chapter and Conference Paper
Collaborative Ocean Resource Interoperability: Multi-use of Ocean Data on the Semantic Web
Earth Observations (EO) collect various characteristics of the objective environment using sensors which often have different measuring, spatial and temporal coverage. Making individual observational data inte...
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Chapter and Conference Paper
ETL Workflow Analysis and Verification Using Backwards Constraint Propagation
One major contribution of data warehouses is to support better decision making by facilitating data analysis, and therefore data quality is of primary importance. ETL is the process that extracts, transforms, ...
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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
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...
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Article
A general approximation framework for direct optimization of information retrieval measures
Recently direct optimization of information retrieval (IR) measures has become a new trend in learning to rank. In this paper, we propose a general framework for direct optimization of IR measures, which enjoy...
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Article
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the LETOR collection and show how ...
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Chapter and Conference Paper
Experimental Studies of Visual Models in Automatic Image Annotation
Semantic image annotation can be viewed as a map** procedure from image features to semantic labels, by the steps of image feature extraction and image-semantic map**. The features can be low-level visual ...
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Article
Guest editorial: special issue on data mining with matrices, graphs and tensors
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Article
Open AccessCorrecting evaluation bias of relational classifiers with network cross validation
Recently, a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and identically distributed (i.i.d.)...
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Chapter and Conference Paper
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses
Stochastic Coordinate Descent (SCD) methods are among the first optimization schemes suggested for efficiently solving large scale problems. However, until now, there exists a gap between the convergence rate ...
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Article
Open AccessA comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data
Several biclustering algorithms have been proposed to identify biclusters, in which genes share similar expression patterns across a number of conditions. However, different algorithms would yield different bi...
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Article
Open AccessA 2012 Workshop: Vaccine and Drug Ontology in the Study of Mechanism and Effect (VDOSME 2012)
Vaccines and drugs have contributed to dramatic improvements in public health worldwide. Over the last decade, there have been efforts in develo** biomedical ontologies that represent various areas associate...
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Article
Open AccessOntology-based time information representation of vaccine adverse events in VAERS for temporal analysis
The U.S. FDA/CDC Vaccine Adverse Event Reporting System (VAERS) provides a valuable data source for post-vaccination adverse event analyses. The structured data in the system has been widely used, but the info...
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Chapter and Conference Paper
Event Relationship Analysis for Temporal Event Search
There are many news articles about events reported on the Web daily, and people are getting more and more used to reading news articles online to know and understand what events happened. For an event, (which ...
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Article
Open AccessNetwork-based analysis of vaccine-related associations reveals consistent knowledge with the vaccine ontology
Ontologies are useful in many branches of biomedical research. For instance, in the vaccine domain, the community-based Vaccine Ontology (VO) has been widely used to promote vaccine data standardization, integ...
