383 Result(s)
within
**u Tao
Artificial Intelligence
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Chapter and Conference Paper
Camera calibration based on 3D-point-grid
In this paper an effective technique of camera calibration based on a 3D-point-grid is presented. The properties of structured space points, defined as 3D-point-grid, and their relations under perspective tran...
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Chapter and Conference Paper
Visualizing the Memory Access Behavior of Shared Memory Applications on NUMA Architectures
Data locality is one of the most important issues affecting the performance of shared memory applications on NUMA architectures. A possibility to improve data locality is the specification of a correct data la...
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Chapter and Conference Paper
Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the mouse brain using technology...
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Chapter and Conference Paper
Using the Fast Marching Method to Extract Curves with Given Global Properties
Curves are often used as anatomical features to match surfaces that represent biological objects, such as the human brain. Automated and semi-automated methods for extracting these curves usually rely on local...
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Chapter and Conference Paper
Hybrid Segmentation Framework for Tissue Images Containing Gene Expression Data
Associating specific gene activity with functional locations in the brain results in a greater understanding of the role of the gene. To perform such an association for the over 20,000 genes in the mammalian g...
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Chapter and Conference Paper
An Integrated Approach to Battlefield Situation Assessment
Situation assessment (SA) is the basis for many of the planning activities performed by the battlefield commander and staff. And as a very complex military process, it requires the cooperation of lots of infor...
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Chapter and Conference Paper
A Clustering Model Based on Matrix Approximation with Applications to Cluster System Log Files
In system management applications, to perform automated analysis of the historical data across multiple components when problems occur, we need to cluster the log messages with disparate formats to automatical...
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Chapter
Probabilistic Reasoning for Closed-Room People Monitoring
In this chapter, we present a probabilistic reasoning approach to recognizing people entering and leaving a closed room by exploiting low-level visual features and high-level domain-specific knowledge. Specifi...
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Chapter and Conference Paper
Discovering Image-Text Associations for Cross-Media Web Information Fusion
The diverse and distributed nature of the information published on the World Wide Web has made it difficult to collate and track information related to specific topics. Whereas most existing work on web inform...
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Chapter and Conference Paper
A Method for Registering Diffusion Weighted Magnetic Resonance Images
Diffusion weighted magnetic resonance (DWMR or DW) imaging is a fast evolving technique to investigate the connectivity of brain white matter by measuring the self-diffusion of the water molecules in the tissu...
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Chapter and Conference Paper
Accurately Choosing Execution Runs for Software Fault Localization
Software fault localization involves locating the exact cause of error for a “failing” execution run – a run which exhibits an unexpected behavior. Given such a failing run, fault localization often proceeds b...
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Article
A Unified View on Clustering Binary Data
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. This paper studies the problem of cl...
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Chapter and Conference Paper
Dynamic Texture Synthesis in the YUV Color-Space
Dynamic textures are representations of such textured surfaces that exhibit certain stationarity properties in time. These include sea-waves, smoke, foliage, whirlwind, dense crowds, and traffic scenes. We add...
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Chapter and Conference Paper
Registration Based on Online Estimation of Trifocal Tensors Using Point and Line Correspondences
This paper illustrates a novel registration method based on robust estimation of trifocal tensors using point and line correspondences synthetically. The proposed method distinguishes itself in following ways:...
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Chapter and Conference Paper
Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut
We present a fast, interactive method for separating bones that have been collectively segmented from a CT volume. Given user-provided seed points, the method computes the separation as a multi-way cut on a we...
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Chapter and Conference Paper
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
We propose a family of multi-task learning algorithms for collaborative computer aided diagnosis which aims to diagnose multiple clinically-related abnormal structures from medical images. Our formulations eli...
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Chapter and Conference Paper
Learning Bidirectional Similarity for Collaborative Filtering
Memory-based collaborative filtering aims at predicting the utility of a certain item for a particular user based on the previous ratings from similar users and similar items. Previous studies in finding simil...
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Article
Tri-tier Immune System in Anti-virus and Software Fault Diagnosis of Mobile Immune Robot Based on Normal Model
In this paper, anti-virus problem and software fault diagnosis of mobile robot, an immune robot, is discussed with proposal of a novel tri-tier immune system (TTIS). TTIS is a novel artificial immune system, w...
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Article
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning
A Markov chain Monte Carlo method has previously been introduced to estimate weighted sums in multiplicative weight update algorithms when the number of inputs is exponential. However, the original algorithm s...
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Chapter and Conference Paper
A Robust Iris Localization Model Based on Phase Congruency and Least Trimmed Squares Estimation
Iris localization is a crucial step in iris recognition. The previous proposed algorithms perform unsatisfactorily due to the disturbing of eyelash and variation of image brightness. To solve these problems, w...
