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» The Combining Classifier: To Train or Not to Train
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CVPR
2012
IEEE
11 years 11 months ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox
CVPR
2012
IEEE
11 years 11 months ago
Synthesizing oil painting surface geometry from a single photograph
We present an approach to synthesize the subtle 3D relief and texture of oil painting brush strokes from a single photograph. This task is unique from traditional synthesize algor...
Wei Luo, Zheng Lu, Xiaogang Wang, Ying-Qing Xu, Mo...
BMCBI
2006
82views more  BMCBI 2006»
13 years 8 months ago
Profiling alternatively spliced mRNA isoforms for prostate cancer classification
Background: Prostate cancer is one of the leading causes of cancer illness and death among men in the United States and world wide. There is an urgent need to discover good biomar...
Chaolin Zhang, Hai-Ri Li, Jian-Bing Fan, Jessica W...
CVPR
2009
IEEE
15 years 3 months ago
Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features
In an 2D echocardiogram exam, an ultrasound probe samples the heart with 2D slices. Changing the orientation and position on the probe changes the slice viewpoint, altering the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...
CVPR
2009
IEEE
15 years 3 months ago
Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes
Recognition of signs in sentences requires a training set constructed out of signs found in continuous sentences. Currently, this is done manually, which is a tedious process. I...
Barbara L. Loeding, Sudeep Sarkar, Sunita Nayak