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CVPR
2006
IEEE
15 years 2 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
ICML
2008
IEEE
14 years 11 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
CVPR
2010
IEEE
14 years 6 months ago
Building and Using a Semantivisual Image Hierarchy
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, L...
ACSC
2005
IEEE
14 years 3 months ago
A Statistical-driven Approach for Automatic Classification of Events in AFL Video Highlights
Due to the repetitive and lengthy nature, automatic content-based summarization is essential to extract a more compact and interesting representation of sport video. State-of-the ...
Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
3DIM
2003
IEEE
14 years 3 months ago
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Srikumar Ramalingam, Suresh K. Lodha