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NIPS
2003
15 years 8 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
WCNC
2008
IEEE
16 years 1 months ago
Throughput and Delay Performance Analysis of Packet Aggregation Scheme for PRMA
—Packet reservation multiple access (PRMA) protocol is an implicit reservation MAC protocol. It is initially designed for voice packets in the cellular networks [2], [3] but it is...
Qi Zhang, Villy Bæk Iversen, Frank H. P. Fit...
ECCV
2002
Springer
16 years 8 months ago
Building Roadmaps of Local Minima of Visual Models
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
Cristian Sminchisescu, Bill Triggs
TSP
2010
15 years 1 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
CVPR
2006
IEEE
16 years 8 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick