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JMLR
2010
82views more  JMLR 2010»
13 years 4 months ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang
TIP
2010
167views more  TIP 2010»
13 years 4 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
Christophoros Nikou, Aristidis Likas, Nikolas P. G...
PADL
2010
Springer
14 years 7 months ago
Automating Mathematical Program Transformations
Abstract. Mathematical programs (MPs) are a class of constrained optimization problems that include linear, mixed-integer, and disjunctive programs. Strategies for solving MPs rely...
Ashish Agarwal, Sooraj Bhat, Alexander Gray, Ignac...
SASO
2010
IEEE
13 years 8 months ago
VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers
Server consolidation through virtualization is becoming an effective way to save power and space in enterprise data centers. However, it also brings additional operational risks f...
Haifeng Chen, Hui Kang, Guofei Jiang, Kenji Yoshih...
CAV
2010
Springer
239views Hardware» more  CAV 2010»
14 years 2 days ago
Universal Causality Graphs: A Precise Happens-Before Model for Detecting Bugs in Concurrent Programs
Triggering errors in concurrent programs is a notoriously difficult task. A key reason for this is the behavioral complexity resulting from the large number of interleavings of op...
Vineet Kahlon, Chao Wang