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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
10 years 4 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
ACL
2012
10 years 4 months ago
Large-Scale Syntactic Language Modeling with Treelets
We propose a simple generative, syntactic language model that conditions on overlapping windows of tree context (or treelets) in the same way that n-gram language models condition...
Adam Pauls, Dan Klein
IJCV
2012
10 years 4 months ago
Minimizing Energies with Hierarchical Costs
Abstract Computer vision is full of problems elegantly expressed in terms of energy minimization. We characterize a class of energies with hierarchical costs and propose a novel hi...
Andrew Delong, Lena Gorelick, Olga Veksler, Yuri B...
DAGM
2011
Springer
11 years 1 months ago
Visual Motion Capturing for Kinematic Model Estimation of a Humanoid Robot
Controlling a tendon-driven robot like the humanoid Ecce is a diļ¬ƒcult task, even more so when its kinematics and its pose are not known precisely. In this paper, we present a vis...
Andre Gaschler
SIGMETRICS
2011
ACM
229views Hardware» more  SIGMETRICS 2011»
11 years 4 months ago
Model-driven optimization of opportunistic routing
Opportunistic routing aims to improve wireless performance by exploiting communication opportunities arising by chance. A key challenge in opportunistic routing is how to achieve ...
Eric Rozner, Mi Kyung Han, Lili Qiu, Yin Zhang
PR
2007
114views more  PR 2007»
12 years 1 months ago
Distributed Markovian segmentation: Application to MR brain scans
A situated approach to Markovian image segmentation is proposed based on a distributed, decentralized and cooperative strategy for model estimation. According to this approach, th...
Nathalie Richard, Michel Dojat, Catherine Garbay
ICASSP
2009
IEEE
12 years 8 months ago
Optimal parameter estimation for model-based quantization
We address optimal model estimation for model-based vector quantization for both the constrained resolution (CR) and constrained entropy (CE) cases. To this purpose we derive unde...
Alexey Ozerov, W. Bastiaan Kleijn
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