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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 5 days ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
DAC
2004
ACM
15 years 10 months ago
Memory access scheduling and binding considering energy minimization in multi-bank memory systems
Memory-related activity is one of the major sources of energy consumption in embedded systems. Many types of memories used in embedded systems allow multiple operating modes (e.g....
Chun-Gi Lyuh, Taewhan Kim
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 11 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
14 years 9 months ago
Lexicographic perturbation for multiparametric linear programming with applications to control
Optimal control problems for constrained linear systems with a linear cost can be posed as multiparametric linear programs with a parameter in the cost, or equivalently the right-...
Colin Neil Jones, Eric C. Kerrigan, Jan M. Maciejo...
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
13 years 9 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek