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» Using Parsimony to Guide Maximum Likelihood Searches
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TROB
2011
255views more  TROB 2011»
14 years 4 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
TSP
2010
14 years 4 months ago
A low complexity blind estimator of narrowband polynomial phase signals
Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated a...
Alon Amar, Amir Leshem, Alle-Jan van der Veen
ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
15 years 2 months ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon
CSB
2003
IEEE
152views Bioinformatics» more  CSB 2003»
15 years 2 months ago
A Parallel Genetic Algorithm for Physical Mapping of Chromosomes
Physical map reconstruction in the presence of errors is a central problem in genetics of high computational complexity. A parallel genetic algorithm for a maximum likelihood esti...
Suchendra M. Bhandarkar, Jinling Huang, Jonathan A...
CVPR
2006
IEEE
15 years 11 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu