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COLT
2003
Springer
14 years 18 days ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 9 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
GECCO
2003
Springer
14 years 17 days ago
What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes
Abstract. This paper provides an empirical test of a hypothesis, which describes the effects of structural mechanisms in genetic programming. In doing so, the paper offers a test p...
Jason M. Daida, Hsiaolei Li, Ricky Tang, Adam M. H...
IJCV
2002
172views more  IJCV 2002»
13 years 7 months ago
Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation
In this paper we explore a multiple hypothesis approach to estimating rigid motion from a moving stereo rig. More precisely, we introduce the use of Gaussian mixtures to model cor...
David Demirdjian, Trevor Darrell
DCC
1998
IEEE
13 years 11 months ago
A Locally Optimal Design Algorithm for Block-Based Multi-Hypothesis Motion-Compensated Prediction
Multi-hypothesis motion-compensated prediction extends traditional motion-compensated prediction used in video coding schemes. Known algorithms for block-based multi-hypothesis mo...
Markus Flierl, Thomas Wiegand, Bernd Girod