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Parameterized Modeling and Recognition of Activities

by Yaser Yacoob, Michael Black - Computer Vision and Image Understanding , 1999
"... this paper we consider a class of human activities--atomic activities--which can be represented as a set of measurements over a finite temporal window (e.g., the motion of human body parts during a walking cycle) and which has a relatively small space of variations in performance. A new approach for ..."
Abstract - Cited by 203 (7 self) - Add to MetaCart
for modeling and recognition of atomic activities that employs principal component analysis and analytical global transformations is proposed. The modeling of sets of exemplar instances of activities that are similar in duration and involve similar body part motions is achieved by parameterizing

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract - Cited by 122 (0 self) - Add to MetaCart
/consumption, experience, and power, as expressed in meaningful interaction framed by culture. By Information Age I refer to a historical period in which human societies perform their activities in a technological paradigm constituted around microelectronics-based information/communication technologies, and genetic

Learning and understanding dynamic scene activity: a review

by Hilary Buxton , 2003
"... We are entering an era of more intelligent cognitive vision systems. Such systems can analyse activity in dynamic scenes to compute conceptual descriptions from motion trajectories of moving people and the objects they interact with. Here we review progress in the development of flexible, generative ..."
Abstract - Cited by 71 (0 self) - Add to MetaCart
We are entering an era of more intelligent cognitive vision systems. Such systems can analyse activity in dynamic scenes to compute conceptual descriptions from motion trajectories of moving people and the objects they interact with. Here we review progress in the development of flexible

Trajectory optimization for continuous ergodic exploration

by Lauren M. Miller, Student Member, Todd D. Murphey - in American Controls Conf. (ACC), 2013
"... Abstract — Autonomous active sensing presents the need for control of sensor motion in both position and orientation. This paper presents a method of planning continuous search tra-jectories over the Euclidean motion group SE(2). The method allows one to calculate an optimal search trajectory with r ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
Abstract — Autonomous active sensing presents the need for control of sensor motion in both position and orientation. This paper presents a method of planning continuous search tra-jectories over the Euclidean motion group SE(2). The method allows one to calculate an optimal search trajectory

Mapping the Envelope of Social Simulation Trajectories

by Oswaldo Terán , Bruce Edmonds, Steve Wallis - AND PAUL DAVIDSSON (EDITORS), MULTI AGENT BASED SIMULATION (MABS-2000), LECTURE NOTES IN ARTIFICIAL INTELLIGENCE , 2000
"... Discovering and studying emergent phenomena are among the most important activities in social research. Replicating this phenomenon in "the lab" using simulation is an important tool for understanding it. Multi-Agent Systems (MAS) provide a suitable framework for such simulation. When such ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
for searching for tendencies and proving their necessity relative to a range of parameterisations of the model and agents' choices, and to the logic of the simulation language. The exploration consists of a forward chaining generation of the trajectories associated to such a range of parameterisations

Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation

by Ian E H Yen , Dmitry Malioutov , Abhishek Kumar
"... Abstract In recent years exemplar clustering has become a popular tool for applications in document and video summarization, active learning, and clustering with general similarity, where cluster centroids are required to be a subset of the data samples rather than their linear combinations. The pr ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract In recent years exemplar clustering has become a popular tool for applications in document and video summarization, active learning, and clustering with general similarity, where cluster centroids are required to be a subset of the data samples rather than their linear combinations

Training Neural Nets with the Reactive Tabu Search

by Roberto Battiti, Giampietro Tecchiolli
"... In this paper the task of training sub-symbolic systems is considered as a combinatorial optimization problem and solved with the heuristic scheme of the Reactive Tabu Search. An iterative optimization process based on a "modified greedy search" component is complemented with a meta-strate ..."
Abstract - Cited by 36 (8 self) - Add to MetaCart
-strategy to realize a discrete dynamical system that discourages limit cycles and the confinement of the search trajectory in a limited portion of the search space. The possible cycles are discouraged by prohibiting (i.e., making tabu) the execution of moves that reverse the ones applied in the most recent part

1 A Trajectory Planner for Autonomous Structural Assembly

by Catharine L. R. Mcghan
"... Autonomous robotic space construction requires robust scheduling routines to decompose and order assembly activities and an efficient trajectory planner to study the activities and determine how they can be physically accomplished. Task schedulers search through possible combinations of abstract “as ..."
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Autonomous robotic space construction requires robust scheduling routines to decompose and order assembly activities and an efficient trajectory planner to study the activities and determine how they can be physically accomplished. Task schedulers search through possible combinations of abstract

Rough Terrain Autonomous Mobility -- Part 2: An Active . . .

by Alonzo Kelly, Anthony Stentz - AUTONOMOUS ROBOTS , 1998
"... Off-road autonomous navigation is one of the most difficult automation challenges from the point of view of constraints on mobility, speed of motion, lack of environmental structure, density of hazards, and typical lack of prior information. This paper describes an autonomous navigation software sys ..."
Abstract - Cited by 47 (15 self) - Add to MetaCart
introduce algorithms for optimal processing and computational stabilization of range imagery for terrain mapping purposes. We formulate the problem of trajectory generation as one of predictive control searching trajectories expressed in command space. We also formulate the problem of goal arbitration

Attribute pivots for guiding relevance feedback in image search

by Adriana Kovashka, Kristen Grauman - In ICCV , 2013
"... In interactive image search, a user iteratively refines his results by giving feedback on exemplar images. Active se-lection methods aim to elicit useful feedback, but traditional approaches suffer from expensive selection criteria and cannot predict informativeness reliably due to the impreci-sion ..."
Abstract - Cited by 8 (2 self) - Add to MetaCart
In interactive image search, a user iteratively refines his results by giving feedback on exemplar images. Active se-lection methods aim to elicit useful feedback, but traditional approaches suffer from expensive selection criteria and cannot predict informativeness reliably due to the impreci
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