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» A New Multiple Kernel Approach for Visual Concept Learning
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MM
2010
ACM
115views Multimedia» more  MM 2010»
13 years 7 months ago
Interactive learning of heterogeneous visual concepts with local features
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the lim...
Wajih Ouertani, Michel Crucianu, Nozha Boujemaa
ICIAP
1999
ACM
14 years 24 days ago
Learning Visual Operators from Examples: A New Paradigm in Image Processing
This paper presents a general strategy for designing efficient visual operators. The approach is highly task oriented and what constitutes the relevant information is defined by...
Hans Knutsson, Magnus Borga
CVPR
2009
IEEE
15 years 3 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
14 years 2 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo
IJON
2007
74views more  IJON 2007»
13 years 8 months ago
Visual object concept discovery: Observations in congenitally blind children, and a computational approach
Over the course of the first few months of life, our brains accomplish a remarkable feat. They are able to interpret complex visual images so that instead of being just disconnec...
Jake V. Bouvrie, Pawan Sinha