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117
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ICML
2003
IEEE
16 years 4 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
179
Voted
CVPR
2008
IEEE
15 years 10 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
135
Voted
SIPS
2007
IEEE
15 years 10 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 8 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-...
177
Voted
ACL
2010
15 years 2 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