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» Multiple Kernels for Object Detection
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CIDM
2007
IEEE
14 years 23 days ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ICCV
2001
IEEE
14 years 10 months ago
Multiple Motion Scene Reconstruction from Uncalibrated Views
We describe a reconstruction method of multiple motion scenes, which are the scenes containing multiple moving objects, from uncalibrated views. Assuming that the objects are movi...
Mei Han, Takeo Kanade
ICCV
2011
IEEE
12 years 8 months ago
Tabula Rasa: Model Transfer for Object Category Detection
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
Yusuf Aytar, Andrew Zisserman
ISVC
2009
Springer
14 years 3 months ago
Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
Giorgio Panin, Sebastian Klose, Alois Knoll
ICIP
2010
IEEE
13 years 6 months ago
Detecting multiple copies in tampered images
Copy-move forgeries are parts of the image that are duplicated elsewhere into the same image, often after being modified by geometrical transformations. In this paper we present a...
Edoardo Ardizzone, Alessandro Bruno, Giuseppe Mazz...