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CPAIOR
2006
Springer
15 years 7 months ago
An Efficient Hybrid Strategy for Temporal Planning
Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...
Zhao Xing, Yixin Chen, Weixiong Zhang
CVPR
2012
IEEE
13 years 5 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
BMCBI
2008
84views more  BMCBI 2008»
15 years 3 months ago
poolHiTS: A Shifted Transversal Design based pooling strategy for high-throughput drug screening
Background: A key goal of drug discovery is to increase the throughput of small molecule screens without sacrificing screening accuracy. High-throughput screening (HTS) in drug di...
Raghunandan M. Kainkaryam, Peter J. Woolf
125
Voted
CVPR
2009
IEEE
16 years 10 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICML
2009
IEEE
16 years 4 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye