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CVPR
2007
IEEE
14 years 12 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 7 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
ICCAD
2003
IEEE
127views Hardware» more  ICCAD 2003»
14 years 6 months ago
A Probabilistic-Based Design Methodology for Nanoscale Computation
As current silicon-based techniques fast approach their practical limits, the investigation of nanoscale electronics, devices and system architectures becomes a central research p...
R. Iris Bahar, Joseph L. Mundy, Jie Chen
ICCSA
2007
Springer
14 years 4 months ago
Low-Complexity Unequal Packet Loss Protection for Real-Time Video over Ubiquitous Networks
Ubiquitous multimedia services are emerging to be available at anytime and anywhere using a variety of computing devices. In this paper, we propose a low-complexity unequal loss pr...
Hojin Ha, Changhoon Yim, Young Yong Kim
MLDM
2005
Springer
14 years 3 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater