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» Object correspondence as a machine learning problem
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PAMI
2012
13 years 4 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
15 years 8 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
115
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ICML
2010
IEEE
15 years 3 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
EDUTAINMENT
2007
Springer
15 years 8 months ago
Usability Test of Immersion for Augmented Reality Based Product Design
In this paper, we evaluate the usability of multimodal feedback for enhancing immersion in augmented reality (AR) based product design environments, introduced in the paper [1]. We...
Taejin Ha, Yoonje Chang, Woontack Woo
PAMI
2012
13 years 4 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu