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PAMI
2012
12 years 1 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
PLDI
2009
ACM
14 years 11 months ago
Chameleon: adaptive selection of collections
Languages such as Java and C#, as well as scripting languages like Python, and Ruby, make extensive use of Collection classes. A collection implementation represents a fixed choic...
Ohad Shacham, Martin T. Vechev, Eran Yahav
CVPR
2011
IEEE
13 years 7 months ago
Global Stereo Matching Leveraged by Sparse Ground Control Points
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
Liang Wang, Ruigang Yang
CIKM
2005
Springer
14 years 4 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
EDUTAINMENT
2006
Springer
14 years 2 months ago
Computer-Assisted Teaching in Class Situation: A High-School Math Lab on Vectors
This paper presents our design and experiment of a computer-assisted class laboratory on vectors in high-school. Our main goal is to improve the acquisition on notions by all pupi...
Maud Marchal, Peggy Provent, Frederic Ruyer, Pirou...