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» The multi-objective constrained assignment problem
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ICCAD
1994
IEEE
134views Hardware» more  ICCAD 1994»
15 years 1 months ago
Boolean constrained encoding: a new formulation and a case study
1 This paper provides a new, generalized approach to the problem of encoding information as vectors of binary digits. We furnish a formal definition for the Boolean constrained enc...
Ney Laert Vilar Calazans
AAAI
2006
14 years 11 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
RTCSA
2005
IEEE
15 years 3 months ago
Task Partitioning upon Memory-Constrained Multiprocessors
Most prior theoretical research on partitioning algorithms for real-time multiprocessor platforms has focused on ensuring that the cumulative computing requirements of the tasks a...
Nathan Fisher, James H. Anderson, Sanjoy K. Baruah
PDPTA
2004
14 years 11 months ago
Evaluation of a Job Admission Algorithm for Bandwidth Constrained Grids
Abstract One of the goals envisioned by Grid computing is to make the execution of both computational and data-intensive problems possible. A key problem is finding the optimal set...
Marc De Leenheer, Pieter Thysebaert, Bruno Volckae...
91
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PVLDB
2008
107views more  PVLDB 2008»
14 years 8 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu