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ICML
2009
IEEE
16 years 7 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
NIPS
2000
15 years 7 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
PRESENCE
1998
78views more  PRESENCE 1998»
15 years 6 months ago
The Effects of Metals and Interfering Fields on Electromagnetic Trackers
The operation of six degree-of-freedom electromagnetic trackers is based on the spatial properties of the electromagnetic fields generated by three small coils. Anything in the e...
Mark A. Nixon, Bruce C. McCallum, W. Richard Frigh...
ISMS
2004
Springer
15 years 11 months ago
Characterization of Soft-Tissue Material Properties: Large Deformation Analysis
: The biomechanical properties of soft tissue derived from experimental measurements are critical for developing a reality-based model for minimally invasive surgical training and ...
Tie Hu, Jaydev P. Desai
SIGCOMM
1996
ACM
15 years 10 months ago
A Channel Access Scheme for Large Dense Packet Radio Networks
Prior work in the eld of packet radio networks has often assumed a simple success-if-exclusive model of successful reception. This simple model is insucient to model interference...
Timothy J. Shepard