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» Learning Object Shape: From Drawings to Images
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ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
15 years 4 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
APGV
2004
ACM
143views Visualization» more  APGV 2004»
15 years 11 months ago
Perceiving translucent materials
Many common materials, including fruit, wax and human skin, are somewhat translucent. What makes an object look translucent or opaque? Here we use a recently developed computer gr...
Roland W. Fleming, Henrik Wann Jensen, Heinrich H....
BMVC
2000
15 years 7 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
CVPR
2012
IEEE
13 years 8 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2006
IEEE
16 years 8 months ago
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
Most algorithms for 3D reconstruction from images use cost functions based on SSD, which assume that the surfaces being reconstructed are visible to all cameras. This makes it dif...
Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. La...