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ACS
2005
13 years 7 months ago
Flow does not Model Flows up to Weak Dihomotopy
We prove that the category of flows cannot be the underlying category of a model category whose corresponding homotopy types are the flows up to weak dihomotopy. Some hints are giv...
Philippe Gaucher
GLVLSI
2006
IEEE
98views VLSI» more  GLVLSI 2006»
14 years 1 months ago
Rapid intermodulation distortion estimation in fully balanced weakly nonlinear Gm-C filters using state-space modeling
State-space modeling of fully differential Gm-C filters with weak nonlinearities is used to develop a fast algorithm for intermodulation distortion estimation. It results in sim...
Paul Sotiriadis, Abdullah Celik, Zhaonian Zhang
IJCV
2007
196views more  IJCV 2007»
13 years 7 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
ESA
2005
Springer
108views Algorithms» more  ESA 2005»
14 years 1 months ago
Bootstrapping a Hop-Optimal Network in the Weak Sensor Model
Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research t...
Martin Farach-Colton, Rohan J. Fernandes, Miguel A...
ICWE
2007
Springer
14 years 1 months ago
Fixing Weakly Annotated Web Data Using Relational Models
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Fatih Gelgi, Srinivas Vadrevu, Hasan Davulcu