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PREMI
2005
Springer
9 years 1 months ago
Globally Optimal 3D Image Reconstruction and Segmentation Via Energy Minimisation Techniques
This paper provides an overview of a number of techniques developed within our group to perform 3D reconstruction and image segmentation based of the application of energy minimisa...
Brian C. Lovell
PREMI
2005
Springer
9 years 1 months ago
Learning to Segment Document Images
A hierarchical framework for document segmentation is proposed as an optimization problem. The model incorporates the dependencies between various levels of the hierarchy unlike tr...
K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawah...
PREMI
2005
Springer
9 years 1 months ago
Design of Hierarchical Classifier with Hybrid Architectures
M. N. S. S. K. Pavan Kumar, C. V. Jawahar
PREMI
2005
Springer
9 years 1 months ago
Computational Molecular Biology of Genome Expression and Regulation
Abstract. Technological advances in experimental and computational molecular biology have revolutionized the whole fields of biology and medicine. Large-scale sequencing, expressio...
Michael Q. Zhang
PREMI
2005
Springer
9 years 1 months ago
Towards Generic Pattern Mining
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Template...
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Nage...
PREMI
2005
Springer
9 years 1 months ago
A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System
Abstract. Segmentation of magnetic resonance imaging (MRI) data entails assigning tissue class labels to voxels. The primary source of segmentation error is the partial volume eff...
Sebastian Widz, Kenneth Revett, Dominik Slezak
PREMI
2005
Springer
9 years 1 months ago
Biological Text Mining for Extraction of Proteins and Their Interactions
Text mining techniques have been proposed for extracting protein names and their interactions. First, we have made improvements on existing methods for handling single word protein...
Kiho Hong, Junhyung Park, Jihoon Yang, Sungyong Pa...
PREMI
2005
Springer
9 years 1 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
PREMI
2005
Springer
9 years 1 months ago
Semantic Web Research Trends and Directions
The Semantic Web is not a single technology, but rather a collection of technologies designed to work together. As a result, research on the Semantic Web intends both to advance in...
Jennifer Golbeck, Bernardo Cuenca Grau, Christian ...
PREMI
2005
Springer
9 years 1 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...
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