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TOMACS
2010
79views more  TOMACS 2010»
14 years 11 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
3DIM
2011
IEEE
14 years 5 months ago
Sampling Relevant Points for Surface Registration
—Surface registration is a fundamental step in the reconstruction of three-dimensional objects. This is typically a two-step process where an initial coarse motion estimation is ...
Andrea Torsello, Emanuele Rodolà, Andrea Al...
CORR
2012
Springer
235views Education» more  CORR 2012»
14 years 23 days ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
ICCV
1999
IEEE
16 years 7 months ago
Capturing Articulated Human Hand Motion: A Divide-and-Conquer Approach
The use of human hand as a natural interface device serves as a motivating force for research in the modeling, analyzing and capturing of the motion of articulated hand. Model-bas...
Ying Wu, Thomas S. Huang
ICML
2007
IEEE
16 years 5 months ago
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro