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» A Framework for Adaptive Visualization
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ECML
2006
Springer
15 years 9 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
CG
2007
Springer
15 years 5 months ago
Storylines: Visual exploration and analysis in latent semantic spaces
Tasks in visual analytics differ from typical information retrieval tasks in fundamental ways. A critical part of a visual analytics is to ask the right questions when dealing wit...
Weizhong Zhu, Chaomei Chen
IJCV
2007
120views more  IJCV 2007»
15 years 5 months ago
Projective Visual Hulls
This article presents a novel method for computing the visual hull of a solid bounded by a smooth surface and observed by a finite set of cameras. The visual hull is the intersect...
Svetlana Lazebnik, Yasutaka Furukawa, Jean Ponce
JAIR
2007
124views more  JAIR 2007»
15 years 5 months ago
Closed-Loop Learning of Visual Control Policies
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
Sébastien Jodogne, Justus H. Piater
ICPR
2006
IEEE
16 years 6 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong