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80
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ECCV
2010
Springer
13 years 3 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
CP
2008
Springer
14 years 11 months ago
An Application of Constraint Programming to Superblock Instruction Scheduling
Modern computer architectures have complex features that can only be fully taken advantage of if the compiler schedules the compiled code. A standard region of code for scheduling ...
Abid M. Malik, Michael Chase, Tyrel Russell, Peter...
ICCV
2009
IEEE
16 years 2 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
ICMLA
2009
14 years 7 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
97
Voted
CORR
2008
Springer
142views Education» more  CORR 2008»
14 years 9 months ago
On the Capacity and Diversity-Multiplexing Tradeoff of the Two-Way Relay Channel
This paper considers a multiple input multiple output (MIMO) two-way relay channel, where two nodes want to exchange data with each other using multiple relays. An iterative algor...
Rahul Vaze, Robert W. Heath Jr.