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ICASSP
2011
IEEE
14 years 10 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
ICASSP
2008
IEEE
16 years 1 months ago
Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptatio
This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Poste...
Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafs...
KI
2005
Springer
16 years 3 days ago
Heuristic-Based Laser Scan Matching for Outdoor 6D SLAM
6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y and z coord...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
CPM
2011
Springer
283views Combinatorics» more  CPM 2011»
14 years 10 months ago
Frequent Submap Discovery
Combinatorial maps are nice data structures for modeling the topology of nD objects subdivided in cells (e.g., vertices, edges, faces, volumes, ...) by means of incidence and adjac...
Stéphane Gosselin, Guillaume Damiand, Chris...
RIAO
2004
15 years 8 months ago
Group Memory Based on the Task Information
A group memory of a project is an information space storing the documents produced and exchanged by members of the group, which may include the electronic discussions that took pl...
Jonathan Yu, James A. Thom, Leila Alem