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» Clustering with Local and Global Regularization
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JMLR
2010
143views more  JMLR 2010»
13 years 6 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
FSTTCS
2010
Springer
13 years 5 months ago
Model checking time-constrained scenario-based specifications
We consider the problem of model checking message-passing systems with real-time requirements. As behavioural specifications, we use message sequence charts (MSCs) annotated with ...
S. Akshay, Paul Gastin, Madhavan Mukund, K. Naraya...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
HPCA
2009
IEEE
14 years 8 months ago
Design and evaluation of a hierarchical on-chip interconnect for next-generation CMPs
Performance and power consumption of an on-chip interconnect that forms the backbone of Chip Multiprocessors (CMPs), are directly influenced by the underlying network topology. Bo...
Reetuparna Das, Soumya Eachempati, Asit K. Mishra,...
DAGM
2008
Springer
13 years 9 months ago
Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting
Dense optical flow fields are required for many applications. They can be obtained by means of various global methods which employ regularization techniques for propagating estimat...
Claudia Kondermann, Daniel Kondermann, Christoph S...