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» On Clustering Using Random Walks
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ESANN
2007
15 years 3 months ago
Human motion recognition using Nonlinear Transient Computation
A novel approach to human motion recognition is proposed that is based on a variation of the Nonlinear Transient Computation Machine (NTCM). The motion data used to train the NTCM ...
Nigel Crook, Wee Jin Goh
ICDCS
2007
IEEE
15 years 8 months ago
Uniform Data Sampling from a Peer-to-Peer Network
Uniform random sample is often useful in analyzing data. Usually taking a uniform sample is not a problem if the entire data resides in one location. However, if the data is distr...
Souptik Datta, Hillol Kargupta
122
Voted
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
15 years 9 months ago
Online ZMP sampling search for biped walking planning
— In this paper, we present a new method that uses random search for online planning of biped walking, given a feasible footstep plan. The Linear Inverted Pendulum dynamic model ...
Jinsu Liu, Manuela M. Veloso
TCS
2010
14 years 9 months ago
The relevant prefixes of coloured Motzkin walks: An average case analysis
In this paper we study some relevant prefixes of coloured Motzkin walks (otherwise called coloured Motzkin words). In these walks, the three kinds of step can have , and colours...
Donatella Merlini, Renzo Sprugnoli
JSAC
2007
124views more  JSAC 2007»
15 years 2 months ago
Optimal search performance in unstructured peer-to-peer networks with clustered demands
—This paper derives the optimal search time and the optimal search cost that can be achieved in unstructured peer-topeer networks when the demand pattern exhibits clustering (i.e...
Saurabh Tewari, Leonard Kleinrock