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NIPS
2007
13 years 9 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
IROS
2008
IEEE
167views Robotics» more  IROS 2008»
14 years 2 months ago
Active rough shape estimation of unknown objects
— This paper presents a method to determine the rough shape of an object. This is a step in the development of a ”One Click Grasping Tool”, a grasping tool of everyday-life o...
Claire Dune, Éric Marchand, Christophe Coll...
ICCV
2001
IEEE
14 years 9 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
IROS
2008
IEEE
185views Robotics» more  IROS 2008»
14 years 2 months ago
A clickable world: Behavior selection through pointing and context for mobile manipulation
— We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot’s behaviors, thereby creati...
Hai Nguyen, Advait Jain, Cressel D. Anderson, Char...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld