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151
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JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
Rademacher Complexities and Bounding the Excess Risk in Active Learning
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
Vladimir Koltchinskii
ICML
2006
IEEE
16 years 5 months ago
Accelerated training of conditional random fields with stochastic gradient methods
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
134
Voted
CVPR
2006
IEEE
15 years 11 months ago
Regression-based Hand Pose Estimation from Multiple Cameras
The RVM-based learning method for whole body pose estimation proposed by Agarwal and Triggs is adapted to hand pose recovery. To help overcome the difficulties presented by the g...
Teófilo Emídio de Campos, David W. M...
IROS
2006
IEEE
129views Robotics» more  IROS 2006»
15 years 11 months ago
Acquisition of Multi-Modal Expression of Slip through Pick-Up Experiences
— To realize adaptive and robust manipulation, a robot should have several sensing modalities and coordinate their outputs to achieve the given task based on underlying constrain...
Yasunori Tada, Koh Hosoda
PAKM
2000
15 years 6 months ago
Situated Knowledge Management - KM on the Borderline between Chaos and Rigidity
Acknowledging the "untidiness of knowledge work", we agree that organizational learning calls for flexible and adaptable IT support. However, recurring situations which ...
Marc Diefenbruch, Marcel Hoffmann, Andrea Misch, H...