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» The Necessity of Combining Adaptation Methods
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98
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AMAI
2006
Springer
15 years 22 days ago
A split-combination approach to merging knowledge bases in possibilistic logic
In this paper, we propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the merging process. The me...
Guilin Qi, Weiru Liu, David H. Glass, David A. Bel...
150
Voted
CVPR
2012
IEEE
13 years 3 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ISCA
2008
IEEE
119views Hardware» more  ISCA 2008»
15 years 19 days ago
Technology-Driven, Highly-Scalable Dragonfly Topology
Evolving technology and increasing pin-bandwidth motivate the use of high-radix routers to reduce the diameter, latency, and cost of interconnection networks. High-radix networks,...
John Kim, William J. Dally, Steve Scott, Dennis Ab...
140
Voted
SIAMIS
2010
156views more  SIAMIS 2010»
14 years 7 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
TASLP
2010
157views more  TASLP 2010»
14 years 7 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan