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ACL
2009
15 years 4 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
NECO
2011
15 years 1 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
CGA
2011
14 years 10 months ago
Intuitive Interactive Human-Character Posing with Millions of Example Poses
We present a data-driven algorithm for interactive 3D human character posing. We formulate the problem in a maximum a posteriori (MAP) framework by combining the user’s inputs w...
Xiaolin K. Wei, Jinxiang Chai
HICSS
2012
IEEE
296views Biometrics» more  HICSS 2012»
14 years 2 months ago
Sparking Creativity: Improving Electronic Brainstorming with Individual Cognitive Priming
In recent years, there has been growing interest in the study of individual cognition in teams. Meanwhile, we learned that much of human behavior involves nonconscious cognition. ...
Alan R. Dennis, Randall K. Minas, Akshay Bhagwatwa...
CVPR
2007
IEEE
16 years 8 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui