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TIT
1998
70views more  TIT 1998»
15 years 11 days ago
The Importance of Convexity in Learning with Squared Loss
We show that if the closureof a function class F under the metric induced by some probability distribution is not convex, then the sample complexity for agnostically learning F wi...
Wee Sun Lee, Peter L. Bartlett, Robert C. Williams...
290
Voted
EMMCVPR
2011
Springer
14 years 14 days ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
76
Voted
SAC
2010
ACM
14 years 11 months ago
Importance tempering
Simulated tempering (ST) is an established Markov Chain Monte Carlo (MCMC) methodology for sampling from a multimodal density π(θ). The technique involves introducing an auxilia...
Robert B. Gramacy, Richard Samworth, Ruth King
111
Voted
UAI
2008
15 years 2 months ago
AND/OR Importance Sampling
The paper introduces an AND/OR importance sampling scheme for probabilistic graphical models. In contrast to conventional importance sampling, AND/OR importance sampling caches sa...
Vibhav Gogate, Rina Dechter
74
Voted
ECCV
2000
Springer
16 years 2 months ago
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus
Philip H. S. Torr, Colin Davidson