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Winding motion in a spiral-like trajectory

by Akio Saitoh
"... In this article I shall describe an easily constructed apparatus for an experiment on winding motion in a spiral-like trajectory in three dimensions. The experimental results show how the total time of the process depends on the initial speed, and the total time has its maximum value of 16.3s for a ..."
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In this article I shall describe an easily constructed apparatus for an experiment on winding motion in a spiral-like trajectory in three dimensions. The experimental results show how the total time of the process depends on the initial speed, and the total time has its maximum value of 16.3s for a

On-line and Off-line Handwriting Recognition: A Comprehensive Survey

by Reâ Jean Plamondon, Sargur N. Srihari - IEEE Transactions on Pattern Analysis and Machine Intelligence
"... AbstractÐHandwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human transactions, machine recognition of handwriting has practical significance, as in reading handwritten no ..."
Abstract - Cited by 495 (8 self) - Add to MetaCart
-line case (which pertains to the availability of trajectory data during writing) and the off-line case (which pertains to scanned images) are considered. Algorithms for preprocessing, character and word recognition, and performance with practical systems are indicated. Other fields of application, like

Finding the Most Likely Trajectories of OptimallyControlled Stochastic Systems

by Emanuel Todorov - In World Congress of the International Federation of Automatic Control (IFAC
"... Abstract: Optimal trajectories of deterministic systems satisfy Pontryagin’s maximum principle and can be computed efficiently. Related results for stochastic systems exist but they lack the simplicity and computational efficiency of the deterministic case. Here we show that a certain class of both ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
discrete-time and continuous-time nonlinear stochastic control problems obey a classic maximum principle, in the sense that the most likely trajectory of the optimally-controlled stochastic system is the solution to a deterministic optimal control problem. Apart from their theoretical significance, our

Interpolating and Using Most Likely Trajectories in Moving-Objects Databases

by Byunggu Yu, Seon Ho Kim
"... Abstract. In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesimal changes to the database, related data management techniques view a moving object’s trajectory as a sequenc ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
system needs to compute (interpolate) the “most likely ” trajectories in the uncertainty regions to determine the peak points of the probability distributions. This paper proposes a generalized trajectory interpolation model using parametric trajectory representations. In addition, the paper expands

Evolving Dynamical Neural Networks for Adaptive Behavior

by Randall D. Beer, John C. Gallagher - Adaptive Behavior , 1992
"... We would like the behavior of the artificial agents that we construct to be as well-adapted to their environments as natural animals are to theirs. Unfortunately, designing controllers with these properties is a very difficult task. In this article, we demonstrate that continuous-time recurrent neur ..."
Abstract - Cited by 308 (22 self) - Add to MetaCart
We would like the behavior of the artificial agents that we construct to be as well-adapted to their environments as natural animals are to theirs. Unfortunately, designing controllers with these properties is a very difficult task. In this article, we demonstrate that continuous-time recurrent

Mining interesting locations and travel sequences from gps trajectories

by Yu Zheng, Lizhu Zhang, Xing Xie, Wei-ying Ma - In Proc. of 2009 Int. World Wide Web Conf. (WWW’09 , 2009
"... The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people’s location histories. In this paper, based on multiple users ’ GPS trajectories, we aim to mine interesting locations and classica ..."
Abstract - Cited by 168 (18 self) - Add to MetaCart
The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people’s location histories. In this paper, based on multiple users ’ GPS trajectories, we aim to mine interesting locations

Back to the Future for Consistency-based Trajectory Tracking

by James Kurien, P. Pandurang Nayak - Proceedings of the National Conference on Artificial Intelligence. Menlo Park, CA: AAAI
"... Given a model of a physical process and a sequence of com-mands and observations received over time, the task of an autonomous controller is to determine the likely states of the process and the actions required to move the process to a desired configuration. We introduce a representation and algori ..."
Abstract - Cited by 69 (0 self) - Add to MetaCart
-marizing segments of the likely trajectories of the process. This enables applications to efficiently maintain a partial be-lief state when it remains consistent with observations and re-visit past assumptions about the process’s evolution when the belief state is ruled out. The system presented has been im

Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots

by Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal - In IEEE International Conference on Robotics and Automation (ICRA2002 , 2002
"... This article presents a new approach to movement planning, on-line trajectory modification, and imitation learning by representing movement plans based on a set of nonlinear di#erential equations with well-defined attractor dynamics. In contrast to non-autonomous movement representations like spline ..."
Abstract - Cited by 204 (26 self) - Add to MetaCart
This article presents a new approach to movement planning, on-line trajectory modification, and imitation learning by representing movement plans based on a set of nonlinear di#erential equations with well-defined attractor dynamics. In contrast to non-autonomous movement representations like

The chronology and intellectual trajectory of American entrepreneurship education 18761999

by Jerome A. Katz - Journal of Business Venturing , 2003
"... Since the first entrepreneurship class—held in 1947—the academic discipline of entrepreneurship’s growth is described using a chronology of three domains—courses, supplemental infrastructures and publications. A 100+-item chronology of entrepreneurship education in the USA from 1876 through 1999 is ..."
Abstract - Cited by 91 (0 self) - Add to MetaCart
is offered and analyzed. The major findings are (1) in the USA, the field has reached maturity and (2) growth is likely outside business schools and outside the USA. The major problems include a glut of journals, a narrowing focus on top-tier publications, potential American stagnation and a shortage

Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials

by Yuhan Cai - Proc. 2004 SIGMOD, toappear
"... In this thesis, we investigate the subject of indexing large collections of spatiotemporal trajectories for similarity matching. Our proposed technique is to first mitigate the dimensionality curse problem by approximating each trajectory with a low order polynomial-like curve, and then incorporate ..."
Abstract - Cited by 83 (0 self) - Add to MetaCart
In this thesis, we investigate the subject of indexing large collections of spatiotemporal trajectories for similarity matching. Our proposed technique is to first mitigate the dimensionality curse problem by approximating each trajectory with a low order polynomial-like curve, and then incorporate
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