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» Ontological Framework for Approximation
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JMLR
2010
101views more  JMLR 2010»
14 years 11 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
154
Voted
JMLR
2010
166views more  JMLR 2010»
14 years 11 months ago
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models
We present new measures of the causal direction between two non-gaussian random variables. They are based on the likelihood ratio under the linear non-gaussian acyclic model (LiNG...
Aapo Hyvärinen
150
Voted
TASE
2010
IEEE
14 years 11 months ago
Sensor Placement for Triangulation-Based Localization
Robots operating in a workspace can localize themselves by querying nodes of a sensor-network deployed in the same workspace. This paper addresses the problem of computing the min...
Onur Tekdas, Volkan Isler
TOG
2010
97views more  TOG 2010»
14 years 11 months ago
A practical simulation of dispersed bubble flow
In this paper, we propose a simple and efficient framework for simulating dispersed bubble flow. Instead of modeling the complex hydrodynamics of numerous small bubbles explicitly...
Doyub Kim, Oh-Young Song, Hyeong-Seok Ko
122
Voted
TOG
2010
129views more  TOG 2010»
14 years 11 months ago
Optical computing for fast light transport analysis
We present a general framework for analyzing the transport matrix of a real-world scene at full resolution, without capturing many photos. The key idea is to use projectors and ca...
Matthew O'Toole, Kiriakos N. Kutulakos