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238
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ECAI
2004
Springer
16 years 20 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ECCV
2010
Springer
16 years 18 days ago
Energy Minimization Under Constraints on Label Counts
Abstract. Many computer vision problems such as object segmentation or reconstruction can be formulated in terms of labeling a set of pixels or voxels. In certain scenarios, we may...
ICS
2003
Tsinghua U.
16 years 14 days ago
Predictive dynamic thermal management for multimedia applications
Dynamic Thermal Management (DTM) techniques have been proposed to save on thermal packaging and cooling costs for generalpurpose processors. However, when invoked, these technique...
Jayanth Srinivasan, Sarita V. Adve
193
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MCS
2010
Springer
16 years 11 days ago
Online Non-stationary Boosting
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
Adam Pocock, Paraskevas Yiapanis, Jeremy Singer, M...
SAGA
2001
Springer
15 years 11 months ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...