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JCAM
2010
84views more  JCAM 2010»
13 years 8 days ago
An interior-point method for large constrained discrete ill-posed problems
Ill-posed problems are numerically underdetermined. It is therefore often beneficial to impose known properties of the desired solution, such as nonnegativity, during the solution...
Serena Morigi, Lothar Reichel, Fiorella Sgallari
ICRA
2007
IEEE
124views Robotics» more  ICRA 2007»
13 years 11 months ago
Using Constrained Intuitionistic Linear Logic for Hybrid Robotic Planning Problems
— Synthesis of robot behaviors towards nontrivial goals often requires reasoning about both discrete and continuous aspects of the underlying domain. Existing approaches in build...
Uluc Saranli, Frank Pfenning
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 3 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
CPM
2009
Springer
127views Combinatorics» more  CPM 2009»
14 years 1 days ago
Deconstructing Intractability: A Case Study for Interval Constrained Coloring
The NP-hard Interval Constrained Coloring problem appears in the interpretation of experimental data in biochemistry dealing with protein fragments. Given a set of m integer interv...
Christian Komusiewicz, Rolf Niedermeier, Johannes ...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 5 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002