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» Variational Constraints in 3D
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IPMI
2005
Springer
16 years 18 days ago
A Riemannian Approach to Diffusion Tensor Images Segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential...
Christophe Lenglet, Mikaël Rousson, Rachid De...
ICML
2007
IEEE
16 years 17 days ago
Sparse eigen methods by D.C. programming
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
Bharath K. Sriperumbudur, David A. Torres, Gert R....
ICML
2008
IEEE
16 years 17 days ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
CHI
2006
ACM
16 years 5 days ago
Generating automated predictions of behavior strategically adapted to specific performance objectives
It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...
VLSID
2007
IEEE
209views VLSI» more  VLSID 2007»
16 years 4 days ago
Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis
We present minimization methodologies and an algorithm for simultaneous scheduling, binding, and allocation for the reduction of total power and power fluctuation during behaviora...
Saraju P. Mohanty, Elias Kougianos