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ICML
2003
IEEE
16 years 8 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
CVPR
2008
IEEE
16 years 1 months ago
A theoretical analysis of linear and multi-linear models of image appearance
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...
Yilei Xu, Amit K. Roy Chowdhury
SIPS
2007
IEEE
16 years 1 months ago
Sphere Decoding for Multiprocessor Architectures
Motivated by the need for high throughput sphere decoding for multipleinput-multiple-output (MIMO) communication systems, we propose a parallel depth-first sphere decoding (PDSD)...
Qi Qi, Chaitali Chakrabarti
ATAL
2009
Springer
15 years 11 months ago
Effective bidding and deal identification for negotiations in highly nonlinear scenarios
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
Ivan Marsá-Maestre, Miguel A. López-...
ACL
2010
15 years 5 months ago
Towards Relational POMDPs for Adaptive Dialogue Management
Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly...
Pierre Lison