Sciweavers

SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
12 years 2 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
12 years 2 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
12 years 2 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
13 years 7 days ago
Visual Motion Capturing for Kinematic Model Estimation of a Humanoid Robot
Controlling a tendon-driven robot like the humanoid Ecce is a difficult 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»
13 years 3 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»
13 years 12 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
14 years 7 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