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CVBIA
2005
Springer
15 years 10 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
ACCV
2009
Springer
15 years 11 months ago
Background Estimation Based on Device Pixel Structures for Silhouette Extraction
We propose a novel technique for background estimation on the tabletop systems that have an information display on the tabletop and observe tabletop objects with a camera. In such ...
Yasutomo Kawanishi, Takuya Funatomi, Koh Kakusho, ...
IJCV
2008
157views more  IJCV 2008»
15 years 4 months ago
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
Systems utilizing multiple sensors are required in many domains. In this paper, we specifically concern ourselves with applications where dynamic objects appear randomly and the s...
Anurag Mittal, Larry S. Davis
CVPR
2012
IEEE
13 years 7 months ago
Recovering free space of indoor scenes from a single image
In this paper we consider the problem of recovering the free space of an indoor scene from its single image. We show that exploiting the box like geometric structure of furniture ...
Varsha Hedau, Derek Hoiem, David A. Forsyth
PAMI
2008
208views more  PAMI 2008»
15 years 4 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...