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» Learning Generative Models via Discriminative Approaches
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103
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ICPR
2008
IEEE
15 years 10 months ago
Human reappearance detection based on on-line learning
Many video surveillance applications require detecting human reappearances in a scene monitored by a camera or over a network of cameras. This is the human reappearance detection ...
Lei Hu, Yizhou Wang, Shuqiang Jiang, Qingming Huan...
145
Voted
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
15 years 10 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
136
Voted
ISIPTA
2005
IEEE
162views Mathematics» more  ISIPTA 2005»
15 years 9 months ago
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Frank P. A. Coolen, Thomas Augustin
162
Voted
TNN
2011
200views more  TNN 2011»
14 years 10 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...
143
Voted
ICIP
2007
IEEE
16 years 5 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen