38 search results - page 3 / 8 » Reducing Dimensionality in Multiple Instance Learning with a... |
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
SI3D
2006
ACM
14 years 19 days ago
2006
ACM
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
VLSI
2010
Springer
13 years 5 months ago
2010
Springer
—In this paper, we introduce a design methodology to implement low-complexity and high-speed digital Finite Impulse Response (FIR) filters. Since FIR filters suffer from a larg...
BIOINFORMATICS
2005
13 years 6 months ago
2005
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...