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» Deep Inference and Its Normal Form of Derivations
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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 2 months ago
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
—In this work, we utilize a recently studied more accurate range noise model for 3D sensors to derive from scratch the expressions for the optimum plane which best fits a point-...
Kaustubh Pathak, Narunas Vaskevicius, Andreas Birk...
ALT
2001
Springer
14 years 4 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
DUX
2007
13 years 11 months ago
Responsibilities and implications: further thoughts on ethnography and design
Many researchers and practitioners in user experience design have turned towards social sciences to find ways to understand the social contexts in which both users and technologie...
Paul Dourish
CORR
2006
Springer
145views Education» more  CORR 2006»
13 years 7 months ago
Algebraic Signal Processing Theory
In [1], we presented the algebraic signal processing theory, an axiomatic and general framework for linear signal processing. The basic concept in this theory is the signal model d...
Markus Püschel, José M. F. Moura
TSP
2008
154views more  TSP 2008»
13 years 6 months ago
Algebraic Signal Processing Theory: 1-D Space
In our paper titled "Algebraic Signal Processing Theory: Foundation and 1-D Time" appearing in this issue of the IEEE TRANSACTIONS ON SIGNAL PROCESSING, we presented the ...
Markus Püschel, José M. F. Moura