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» Identifying Clusters from Positive Data
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108
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IEEEVAST
2010
14 years 7 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
82
Voted
ICDAR
2003
IEEE
15 years 5 months ago
Automatic Classification of Hand Drawn Geometric Shapes using Constructional Sequence Analysis
A method for automatically assessing the constructional sequence from a neuropsychological drawing task using Hidden Markov Models is presented. We also present a method of extrac...
Richard M. Guest, Samuel Chindaro, Michael C. Fair...
99
Voted
SEMWEB
2004
Springer
15 years 6 months ago
Learning Meta-descriptions of the FOAF Network
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
106
Voted
ACCV
2010
Springer
14 years 7 months ago
Optimizing Visual Vocabularies Using Soft Assignment Entropies
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Yubin Kuang, Kalle Åström, Lars Kopp, M...
ISBI
2007
IEEE
15 years 7 months ago
A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model
This paper presents a multi-dimensional point scatterer distribution model for the context of ultrasound image simulation. The model has a simple parameterisation, has low computa...
Catherine Laporte, James J. Clark, Tal Arbel