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ECCV
2010
Springer
15 years 10 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
CW
2002
IEEE
15 years 10 months ago
Free-Form Deformation with Automatically Generated Multiresolution Lattices
Developing intuitive and efficient methods for shape editing is one of the most important areas in computer graphics, and free-form deformation (FFD), which is one of such methods...
Yutaka Ono, Bing-Yu Chen, Tomoyuki Nishita, Jieqin...
AAAI
2004
15 years 6 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
ICML
2010
IEEE
15 years 6 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
BMCBI
2006
108views more  BMCBI 2006»
15 years 5 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal