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ICIP
2002
IEEE
16 years 5 months ago
Wavelet denoising by recursive cycle spinning
Coupling the periodic time-invariance of the wavelet transform with the view of thresholding as a projection yields a simple, recursive, wavelet-based technique for denoising sign...
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchan...
CVPR
2010
IEEE
16 years 5 days ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 10 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
120
Voted
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 2 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 1 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams