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TNN
2011
200views more  TNN 2011»
14 years 11 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
JMLR
2010
206views more  JMLR 2010»
14 years 11 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
164
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AAAI
2012
13 years 7 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
ICCV
2009
IEEE
16 years 9 months ago
Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations
We address the classic problems of detection, segmenta- tion and pose estimation of people in images with a novel definition of a part, a poselet. We postulate two criteria (1) ...
Lubomir Bourdev, Jitendra Malik
CVPR
2003
IEEE
16 years 6 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma