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» From Linear Relaxations to Global Constraint Propagation
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 9 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
ICCV
2009
IEEE
15 years 16 days ago
Filter Flow
The filter flow problem is to compute a space-variant linear filter that transforms one image into another. This framework encompasses a broad range of transformations including...
Steven M. Seitz, Simon Baker
SIAMDM
2010
117views more  SIAMDM 2010»
13 years 6 months ago
Design is as Easy as Optimization
We consider the class of max-min and min-max optimization problems subject to a global budget (or weight) constraint and we undertake a systematic algorithmic and complexitytheore...
Deeparnab Chakrabarty, Aranyak Mehta, Vijay V. Vaz...
ATAL
2007
Springer
13 years 11 months ago
Hypotheses refinement under topological communication constraints
We investigate the properties of a multiagent system where each (distributed) agent locally perceives its environment. Upon perception of an unexpected event, each agent locally c...
Gauvain Bourgne, Gael Hette, Nicolas Maudet, Suzan...
COR
2007
183views more  COR 2007»
13 years 7 months ago
Arcs-states models for the vehicle routing problem with time windows and related problems
This paper presents several Arcs-States models that can be applied to numerous vehicle routing problems, one of which is the well-known vehicle routing problem with capacities and...
Thierry Mautor, Edith Naudin