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CVPR
2006
IEEE
15 years 26 days ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
LAWEB
2003
IEEE
14 years 4 months ago
Alternative Implementation Techniques for Web Text Visualization
We present an approach for building text visualizations that avoids using plug-ins or clients based on languages like Java. Instead we propose to make the search engine applicatio...
Omar Alonso, Ricardo A. Baeza-Yates
ICCV
2011
IEEE
12 years 11 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
CIVR
2008
Springer
227views Image Analysis» more  CIVR 2008»
14 years 19 days ago
A comparison of color features for visual concept classification
Concept classification is important to access visual information on the level of objects and scene types. So far, intensity-based features have been widely used. To increase discr...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
15 years 3 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin