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Table 3 Behaviors that cause directional changes based on external stimuli expect a stimulus from the left and right sides of the robot similar to stimulus sensing found in insects Positive and negative taxis mappings

in Cooperative transport by ants and robots
by C. Ronald Kube A, Eric Bonabeau B

Table 1. The performance of the crossing tar- get detection algorithm for image sequences with a number of target distances.

in Detection of Obstacles in the Flight Path of an Aircraft
by Tarak Gandhi Mau-Tsuen, Tarak G, Mau-tsuen Yang, Rangachar Kasturi, Octavia Camps, Jeffrey Mcc, Flight Management, Human Factors Division 2003
"... In PAGE 7: ... Tracking algorithm applied on an im- age sequence with the target aircraft (marked by a rectangle) translating from right to left at a distance of 3 nmi (5:4 km). Table1 summarizes the performance of the crossing tar- get tracking algorithm on a number of image sequences with different distances between the host and the target aircraft. The mis-detection (MD) rate is the ratio of the number of frames in which the target was missed to the total number of frames, whereas the false alarm rate (FA) is the ratio of the total number of false alarms throughout the sequence to the number of image frames in the sequence.... ..."
Cited by 5

Table 1 Summary of the MODIS 500 m land surface reflectance bands and conservative land surface reflectance one standard deviation (rk) noise estimates (Vermote et al., 2002; Vermote, personal communication) MODIS band Central wavelength (Am)

in
by unknown authors 2005
"... In PAGE 3: ... Data The MODIS fire-affected area product is generated from time series of daily 500 m MODIS land surface reflectance data derived in the manner described below. Measurements in the seven MODIS land surface reflec- tance bands ( Table1 ) are corrected for atmospheric effects, including aerosols (Vermote et al., 2002).... In PAGE 8: ..., 2002; Vermote, personal commu- nication). The estimates are summarized in Table1 for the seven MODIS land surface reflective bands. The incorpo- ration of rk reduces the incidence of overestimated Z-score values that occur for (1) when the angular sampling of the observations used in the BRDF inversion are similar to burned vegetation are applied to the resulting Z-score time series.... In PAGE 8: ....P. Roy et al. / Remote Sensing 144 In the global algorithm, MODIS bands that are sensitive and insensitive to biomass burning are used to detect changes due to fire and to differentiate them from other types of change, respectively. The near-infrared and longer wavelength 500 m land reflectance bands ( Table1 ) are used because they are generally insensitive to smoke aerosols emitted from vegetation fires (Kaufman amp; Remer, 1994; Miura et al., 1998).... In PAGE 11: ...5 (April 20th, 2002) (both green lines illustrate the same location, senescent grass on bright Kalahari sand NDVI=0.4 (July 28th, 2002), orange 2002) (both orange lines at the same location, Zambezi floodplain, Zambia) bands shown in order of increasing wavelength ( Table1 ). Each point shows the mean MODIS pixels extracted from single date MODIS data sets over homogeneous surfaces.... ..."

Table 1 A comparison of target detection algorithms

in Multi-target Detection by Multi-sensor Systems: A Comparison of Systems
by Ganesh P K, et al.

Table 1 Average number of false detections (mean6standard de- viation) before target(s) found, for the red can test set (n559), emergency triangle test set (n532) and traffic signs test set (n 545; 17 images with 1 sign, 19 with 2, 6 with 3, 2 with 4 and 1 with 5). For the traffic sign images which could contain more than one target per image, we measured both the number of false detections before the first target hit, and before all targets in the image had been detected.

in
by unknown authors

Table 1: A motion detection algorithm based on a sequence of time stamp maps.

in Navigating a robotic wheelchair in a railway station during rush hour
by E. Prassler, J. Scholz, P. Fiorini 1999
Cited by 8

Table 1: A motion detection algorithm based on a sequence of time stamp maps.

in Navigating a Robotic Wheelchair in a Railway Station During Rush-Hour
by E. Prassler, J. Scholz, P. Fiorini 1999
Cited by 8

Table 2 Outlier detection performances on the UCI datasetsa

in Support vector domain description
by David M. J. Tax, Robert P. W. Duin 1999
"... In PAGE 6: ... To estimate the errors (of the first and the second kind) n-fold cross-validation with n 5 is used. In Table2 , the performances of the outlier de- tection methods on all UCI datasets are shown. For each method, the performance on a target validation set (left) and an outlier test set (right) is shown.... ..."
Cited by 59

Table 1: Detection Statistics on 51 Demo C Test Images. Training of the color detection system was performed using images collected the previous day. No true target was missed in this test. Test Data Set, 1 - 5PM, June 14, 1995 Total Number of Images 51

in A Coregistration Approach to Multisensor Target Recognition with Extensions to Exploit Digital Elevation Map Data
by Kaufmann Publishers, J. Ross Beveridge, J. Ross Beveridge, Bruce A. Draper, Bruce A. Draper, Mark R. Stevens, Mark R. Stevens, Allen Hanson, Allen Hanson, Kris Siejko, Kris Siejko, Alliant Techsystems, Alliant Techsystems 1997
"... In PAGE 8: ... Because the system was tuned to work in con- junction with a FLIR-based detection system, a high false positive rate was considered acceptable as a way of reducing the chance of missed targets. Observe the high false alarm rate in Table1 . To illustrate how these detection ROIs appear, the ROIs found for a typical image from the June tests at the Demo C site are shown in Figure 2a (see color plates).... ..."

TABLE 1. Occurrence of misclassified images based on validation test results

in unknown title
by unknown authors 2004
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