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CVPR
2008
IEEE
16 years 8 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
WWW
2006
ACM
16 years 7 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
CODES
2009
IEEE
16 years 1 months ago
Using binary translation in event driven simulation for fast and flexible MPSoC simulation
In this paper, we investigate the use of instruction set simulators (ISS) based on binary translation to accelerate full timed multiprocessor system simulation at transaction leve...
Marius Gligor, Nicolas Fournel, Frédé...
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
16 years 29 days ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan
SBCCI
2005
ACM
98views VLSI» more  SBCCI 2005»
16 years 6 days ago
Mapping embedded systems onto NoCs: the traffic effect on dynamic energy estimation
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
José Carlos S. Palma, César A. M. Ma...