Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 11 - 20
of
6,508
Teleo-reactive programs for agent control
- Journal of Artificial Intelligence Research
, 1994
"... A formalism is presented for computing and organizing actions for autonomous agents in dynamic environments. We introduce the notion of teleo-reactive (T-R) programs whose execution entails the construction of circuitry for the continuous computation of the parameters and conditions on which agent a ..."
Abstract
-
Cited by 226 (1 self)
- Add to MetaCart
action is based. In addition to continuous feedback, T-R programs support parameter binding and recursion. A primary di erence between T-R programs and many other circuit-based systems is that the circuitry of T-R programs is more compact; it is constructed at run time and thus does not have toanticipate
Fast global oscillations in networks of integrate-and-fire neurons with low firing rates
- Neural Computation
, 1999
"... We study analytically the dynamics of a network of sparsely connected inhibitory integrate-and-fire neurons in a regime where individual neurons emit spikes irregularly and at a low rate. In the limit when the number of neurons N → ∞, the network exhibits a sharp transition between a stationary and ..."
Abstract
-
Cited by 227 (17 self)
- Add to MetaCart
and an oscillatory global activity regime where neurons are weakly synchronized. The activity becomes oscillatory when the inhibitory feedback is strong enough. The period of the global oscillation is found to be mainly controlled by synaptic times, but depends also on the characteristics of the external input
Mean Shift Analysis and Applications
, 1999
"... A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving filtering and image segmentation. Properties of the mean shift are reviewed and its convergence on lattices is proven. The ..."
Abstract
-
Cited by 200 (9 self)
- Add to MetaCart
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving filtering and image segmentation. Properties of the mean shift are reviewed and its convergence on lattices is proven
A framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models
, 2002
"... MOGs) have recently become a popular choice for robust modeling and removal of complex and changing backgrounds at the pixel level. However, TAPPMOG-based methods cannot easily be made to model dynamic backgrounds with highly complex appearance, or to adapt promptly to sudden “uninteresting ” scene ..."
Abstract
-
Cited by 87 (3 self)
- Add to MetaCart
segmentation results to be tailored to the specific needs of an application, we introduce a general framework for guiding pixel-level TAPPMOG evolution with feedback from “high-level ” modules. Each such module can use pixel-wise maps of positive and negative feedback to attempt to impress upon the TAPPMOG
Video coding with optimal Inter/Intra-mode switching for packet loss resilience
- IEEE JSAC
, 2000
"... Resilience to packet loss is a critical requirement in predictive video coding for transmission over packet-switched networks, since the prediction loop propagates errors and causes substantial degradation in video quality. This work proposes an algorithm to optimally estimate the overall distortio ..."
Abstract
-
Cited by 197 (15 self)
- Add to MetaCart
distortion of decoder frame reconstruction due to quantization, error propagation, and error concealment. The method recursively computes the total decoder distortion at pixel level precision to accurately account for spatial and temporal error propagation. The accuracy of the estimate is demonstrated via
A Smooth Converse Lyapunov Theorem for Robust Stability
- SIAM Journal on Control and Optimization
, 1996
"... . This paper presents a Converse Lyapunov Function Theorem motivated by robust control analysis and design. Our result is based upon, but generalizes, various aspects of well-known classical theorems. In a unified and natural manner, it (1) allows arbitrary bounded time-varying parameters in the sys ..."
Abstract
-
Cited by 196 (42 self)
- Add to MetaCart
. This paper presents a Converse Lyapunov Function Theorem motivated by robust control analysis and design. Our result is based upon, but generalizes, various aspects of well-known classical theorems. In a unified and natural manner, it (1) allows arbitrary bounded time-varying parameters
Coil sensitivity encoding for fast MRI. In:
- Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
Abstract
-
Cited by 193 (3 self)
- Add to MetaCart
of the object. Formally this is done simply by removing the corresponding column in the sensitivity matrix and setting the excluded pixel to zero in the final image. Knowledge of which voxels may safely be excluded is obtained as a by-product of sensitivity assessment. In Eq. [2] receiver noise levels
Learning to control a brain-machine interface for reaching and grasping by primates
- Public Library of Science Biology
, 2003
"... Reaching and grasping in primates depend on the coordination of neural activity in large frontoparietal ensembles. Here we demonstrate that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc) that uses multiple mathema ..."
Abstract
-
Cited by 192 (13 self)
- Add to MetaCart
mathematical models to extract several motor parameters (i.e., hand position, velocity, gripping force, and the EMGs of multiple arm muscles) from the electrical activity of frontoparietal neuronal ensembles. As single neurons typically contribute to the encoding of several motor parameters, we observed
The MODIS cloud products: Algorithms and examples from Terra
- IEEE Transactions on Geoscience and Remote Sensing
, 2003
"... (MODIS) is one of five instruments aboard the Terra Earth Observing System (EOS) platform launched in December 1999. After achieving final orbit, MODIS began earth observations in late February 2000 and has been acquiring data since that time. The instrument is also being flown on the Aqua spacecraf ..."
Abstract
-
Cited by 166 (31 self)
- Add to MetaCart
(optical thickness, effective particle radius, water path), as well as derived statistics. We will describe the various algorithms being used for the remote sensing of cloud properties from MODIS data with an emphasis on the pixel-level retrievals (referred to as Level-2 products), with 1-km or 5-km
Collective Motion, Sensor Networks and Ocean Sampling
"... This paper addresses the design of mobile sensor networks for optimal data collection. The development is strongly motivated by the application to adaptive ocean sampling for an autonomous ocean observing and prediction system. A performance metric, used to derive optimal paths for the network of m ..."
Abstract
-
Cited by 183 (49 self)
- Add to MetaCart
of mobile sensors, defines the optimal data set as one which minimizes error in a model estimate of the sampled field. Feedback control laws are presented that stably coordinate sensors on structured tracks that have been optimized over a minimal set of parameters. Optimal, closed-loop solutions
Results 11 - 20
of
6,508
