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» Spam filter evaluation with imprecise ground truth
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SIGIR
2009
ACM
13 years 10 months ago
Spam filter evaluation with imprecise ground truth
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
Gordon V. Cormack, Aleksander Kolcz
AROBOTS
2011
12 years 11 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
PAMI
2010
238views more  PAMI 2010»
13 years 2 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
IROS
2009
IEEE
158views Robotics» more  IROS 2009»
13 years 11 months ago
Robust 3D-mapping with time-of-flight cameras
— Time-of-Flight cameras constitute a smart and fast technology for 3D perception but lack in measurement precision and robustness. The authors present a comprehensive approach f...
Stefan May, David Droeschel, Stefan Fuchs, Dirk Ho...
ICRA
2005
IEEE
141views Robotics» more  ICRA 2005»
13 years 10 months ago
Sensor Data Fusion for Body State Estimation in a Hexapod Robot with Dynamical Gaits
— We report on progress toward a continuous time full 6 DOF translational body state estimator for a hexapod robot executing a jogging gait (with 4 consecutive phases: tripod sta...
Pei-Chun Lin, Haldun Komsuoglu, Daniel E. Koditsch...