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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 3 days ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
14 years 11 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
89
Voted
INFORMATICALT
2006
89views more  INFORMATICALT 2006»
14 years 10 months ago
Investigation of Examples of E-Education Environment for Scientific Collaboration and Distance Graduate Studies, Part 1
The objective is to investigate two emerging information technologies in graduate studies and scientific cooperation. Internet is the first technology. The open source is the secon...
Jonas Mockus
PAMI
2007
159views more  PAMI 2007»
14 years 9 months ago
Soft Color Segmentation and Its Applications
—We propose an automatic approach to soft color segmentation, which produces soft color segments with an appropriate amount of overlapping and transparency essential to synthesiz...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
AI
2010
Springer
14 years 6 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...