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» The Probabilistic Method
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103
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ICML
2010
IEEE
15 years 1 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
108
Voted
ICIP
2006
IEEE
16 years 2 months ago
Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation
Embedding generic shape information into probabilistic spatiotemporal video object segmentation is of pivotal importance to achieving better segmentation, since it provides valuab...
Rakib Ahmed, Gour C. Karmakar, Laurence S. Dooley
ICML
2001
IEEE
16 years 1 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
108
Voted
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
15 years 6 months ago
An Incremental Harmonic Function-based Probabilistic Roadmap Approach to Robot Path Planning
— A new hybrid motion planning technique based on Harmonic Functions (HF) and Probabilistic Roadmaps (PRM) is presented. The proposed approach consists of incrementally building ...
Moslem Kazemi, Mehran Mehrandezh, Kamal K. Gupta
ILP
1999
Springer
15 years 5 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller