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» Improving object classification using semantic attributes
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SOFTWARE
2002
15 years 5 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
CVPR
2008
IEEE
16 years 8 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
ICIP
2009
IEEE
16 years 7 months ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is ...
ICML
2000
IEEE
16 years 7 months ago
Discovering Test Set Regularities in Relational Domains
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Seán Slattery, Tom M. Mitchell
ICC
2007
IEEE
166views Communications» more  ICC 2007»
16 years 14 days ago
Dynamic Optimization of Secure Mobile Sensor Networks: A Genetic Algorithm
— We propose a reduced-complexity genetic algorithm for secure and dynamic deployment of resource constrained multi-hop mobile sensor networks. Mobility and security are relative...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen