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SADM
2011
15 years 1 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
CVPR
2005
IEEE
16 years 8 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ICPR
2002
IEEE
16 years 7 months ago
Robust Appearance-Based Object Recognition Using a Fully Connected Markov Random Field
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...
Barbara Caputo, Sahla Bouattour, Heinrich Niemann
DAC
2007
ACM
16 years 7 months ago
Width-dependent Statistical Leakage Modeling for Random Dopant Induced Threshold Voltage Shift
Statistical behavior of device leakage and threshold voltage shows a strong width dependency under microscopic random dopant fluctuation. Leakage estimation using the conventional...
Jie Gu, Sachin S. Sapatnekar, Chris H. Kim
CISS
2008
IEEE
16 years 16 days ago
Imperfect randomized algorithms for the optimal control of wireless networks
Abstract— We consider a joint randomized scheduling, congestion control mechanism for general wireless networks. We allow for a set of imperfections in the operation of the rando...
Atilla Eryilmaz, Asuman E. Ozdaglar, Devavrat Shah...