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145
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CVPR
2011
IEEE
14 years 6 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
155
Voted
CVPR
2011
IEEE
14 years 6 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
111
Voted
DSD
2006
IEEE
93views Hardware» more  DSD 2006»
15 years 8 months ago
High-Level Decision Diagram based Fault Models for Targeting FSMs
Recently, a number of works have been published on implementing assignment decision diagram models combined with SAT methods to address register-transfer level test pattern genera...
Jaan Raik, Raimund Ubar, Taavi Viilukas
138
Voted
ISQED
2003
IEEE
109views Hardware» more  ISQED 2003»
15 years 8 months ago
Modeling and Analysis of Power Distribution Networks for Gigabit Applications
—As the operating frequency of digital systems increases and voltage swing decreases, it becomes very important to characterize and analyze power distribution networks (PDNs) acc...
Wendemagegnehu T. Beyene, Chuck Yuan, Joong-Ho Kim...
111
Voted
PR
2007
104views more  PR 2007»
15 years 2 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet