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UAI
2004
15 years 3 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
MP
2010
154views more  MP 2010»
15 years 19 days ago
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
Xinwei Liu, Yaxiang Yuan
ATVA
2004
Springer
135views Hardware» more  ATVA 2004»
15 years 7 months ago
Using Block-Local Atomicity to Detect Stale-Value Concurrency Errors
Data races do not cover all kinds of concurrency errors. This paper presents a data-ow-based technique to nd stale-value errors, which are not found by low-level and high-level d...
Cyrille Artho, Klaus Havelund, Armin Biere
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 8 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
IPSN
2007
Springer
15 years 8 months ago
NIST smart data flow system II: speaker localization
Multimodal applications require the acquisition and processing of massive amounts of information from multiple sensors. Because this process is beyond the capabilities of a single...
Antoine Fillinger, Lukas Diduch, Imad Hamchi, St&e...