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NIPS
2004
14 years 11 days ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
NIPS
2004
14 years 11 days ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski
IJCAI
2003
14 years 10 days ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
WSCG
2004
146views more  WSCG 2004»
14 years 10 days ago
Frequency-based Operators for Freeform Feature Shape Reuse
Freeform feature shape reuse is an important issue in industrial design supporting. In this paper, the frequencybased operators for freeform feature shape reuse are discussed. Unl...
Chensheng Wang, Joris S. M. Vergeest, Yu Song
UAI
2003
14 years 10 days ago
On Information Regularization
We formulate a principle for classification with the knowledge of the marginal distribution over the data points (unlabeled data). The principle is cast in terms of Tikhonov styl...
Adrian Corduneanu, Tommi Jaakkola