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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 2 months 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
16 years 24 days 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»
15 years 1 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 12 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 11 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