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» The multi-objective constrained assignment problem
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ICCAD
1994
IEEE
134views Hardware» more  ICCAD 1994»
13 years 11 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
13 years 8 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
14 years 28 days 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
13 years 8 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...
PVLDB
2008
107views more  PVLDB 2008»
13 years 5 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