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ANOR
2007
80views more  ANOR 2007»
13 years 7 months ago
The minimum shift design problem
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Luca Di Gaspero, Johannes Gärtner, Guy Kortsa...
ML
2008
ACM
13 years 7 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
CVPR
2006
IEEE
14 years 9 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
TASLP
2010
134views more  TASLP 2010»
13 years 2 months ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang
NIPS
2000
13 years 8 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...