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» NordiCHI 2006: learning from a regional conference
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PRL
2007
101views more  PRL 2007»
13 years 7 months ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
ECCV
2006
Springer
14 years 9 months ago
Automatic Image Segmentation by Positioning a Seed
We present a method that automatically partitions a single image into non-overlapping regions coherent in texture and colour. An assumption that each textured or coloured region ca...
Branislav Micusík, Allan Hanbury
CLOR
2006
13 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICML
2008
IEEE
14 years 8 months ago
An RKHS for multi-view learning and manifold co-regularization
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
Vikas Sindhwani, David S. Rosenberg
EDUTAINMENT
2006
Springer
13 years 11 months ago
Generating 3D Paper-Cutting Effects
In this paper we describe a framework for generating 3D paper-cutting effects on mesh models. The framework involves the construction of model defined paper-cutting patterns, extr...
Yan Li, Jinhui Yu, Honxin Zhang, Jiaoying Shi