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Computer Vision

by Kusuma Kumari B. M , 1982
"... Driver inattention is one of the main causes of traffic accidents. Monitoring a driver to detect inattention is a complex problem that involves physiological and behavioral elements. Different approaches have been made, and among them Computer Vision has the potential of monitoring the person behind ..."
Abstract - Cited by 1041 (11 self) - Add to MetaCart
and tracked. In the second stage the facial features are extracted for further processing. In last stage the most crucial parameter is monitored which is eye’s status. In the last stage it is determined that whether the eyes are closed or open. On the basis of this result the warning is issued to the driver

Apoptosis: a Basic Biological Phenomenon with Wide-ranging Implications in Tissue Kinetics

by J. F. R. Kerr, A. H. Wyllie, A. R. Curriet - Br. J. Cancer , 1972
"... Summary.-The term apoptosis is proposed for a hitherto little recognized mechanism of controlled cell deletion, which appears to play a complementary but opposite role to mitosis in the regulation of animal cell populations. Its morphological features suggest that it is an active, inherently program ..."
Abstract - Cited by 641 (6 self) - Add to MetaCart
number of membrane-bound, ultrastructurally well-preserved fragments. In the second stage these apoptotic bodies are shed from epithelial-lined surfaces or are taken up by other cells, where they undergo a series of changes resembling in vitro autolysis within phagosomes, and are rapidly degraded

On Deriving the Second-Stage Training Set for

by Trainable Combiners, Thomas C. W. L, David M. J. Tax, Robert P. W. Duin
"... Abstract. Unlike fixed combining rules, the trainable combiner is appli-cable to ensembles of diverse base classifier architectures with incompa-rable outputs. The trainable combiner, however, requires the additional step of deriving a second-stage training dataset from the base classifier outputs. ..."
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Abstract. Unlike fixed combining rules, the trainable combiner is appli-cable to ensembles of diverse base classifier architectures with incompa-rable outputs. The trainable combiner, however, requires the additional step of deriving a second-stage training dataset from the base classifier outputs

Second Stage String Fragmentation Model

by Thamar Ali Aithan, Carl Rosenzweig , 1998
"... A string model, advocated by Bowler, provides a physical and intuitive picture of heavy quark fragmentation. When supplemented by an ad hoc factor of (1 − z), to suppress fragmentation near z = 1, it supplies an excellent fit to the data. We extend Bowler’s model by accounting for the further decay ..."
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string breaking to produce massive states requiring further decay. This sequence terminates at the second stage of fragmentation where only relatively “light ” heavy meson systems are formed. Thus we naturally account for the phenomenologically required factor of (1 −z). We also predict that the ratio

IMPLANTS ’ SECOND STAGE SURGERY TECHNIQUES

by Metodi Abadzhiev
"... The sufficiency of attached gingival (AG) around teeth and fixed restorations is a sign for absence of local traumatic factors from dental or soft-tissue origin. Nevertheless the supporters are natural teeth or implants, the attached gingiva around the restoration is a guarantee for long-term, aesth ..."
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-term, aesthetic and functional prosthetic restora-tions. This refers particularly to the attached gingival around the implants –periimplantitis develops quickly due to its absence. Different techniques can be used for implants ’ second stage surgery time – uncovering with puncher, with ceramic bur

The Vector Field Histogram -- Fast Obstacle Avoidance For Mobile Robots

by J. Borenstein, Y. Koren - IEEE JOURNAL OF ROBOTICS AND AUTOMATION , 1991
"... A new real-time obstacle avoidance method for mobile robots has been developed and implemented. This method, named the vector field histogram(VFH), permits the detection of unknown obstacles and avoids collisions while simultaneously steering the mobile robot toward the target. The VFH method uses a ..."
Abstract - Cited by 484 (24 self) - Add to MetaCart
. In the first stage the histogram gridis reduced to a onedimensional polar histogramthat is constructed around the robot's momentary location. Each sector in the polar histogramcontains a value representing the polar obstacle densityin that direction. In the second stage, the algorithm selects the most

Birth Talk in Second Stage Labor

by Linda Bergstrom, Lori Richards, Adele Proctor, Leticia Bohrer Avila, Janice M. Morse, Joyce E. Roberts
"... In this secondary analysis of videotape data, we describe birth talk demonstrated by caregivers to women during the second stage of labor. Birth talk is a distinctive verbal register or a set of linguistic features that are used with particular behaviors during specific situations, has a particular ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
In this secondary analysis of videotape data, we describe birth talk demonstrated by caregivers to women during the second stage of labor. Birth talk is a distinctive verbal register or a set of linguistic features that are used with particular behaviors during specific situations, has a particular

SIS: A System for Sequential Circuit Synthesis

by Ellen M. Sentovich, Kanwar Jit Singh, Luciano Lavagno, Cho Moon, Rajeev Murgai, Alexander Saldanha, Hamid Savoj, Paul R. Stephan, Robert K. Brayton, Alberto Sangiovanni-Vincentelli , 1992
"... SIS is an interactive tool for synthesis and optimization of sequential circuits. Given a state transition table, a signal transition graph, or a logic-level description of a sequential circuit, it produces an optimized net-list in the target technology while preserving the sequential input-output b ..."
Abstract - Cited by 527 (44 self) - Add to MetaCart
-output behavior. Many different programs and algorithms have been integrated into SIS, allowing the user to choose among a variety of techniques at each stage of the process. It is built on top of MISII [5] and includes all (combinational) optimization techniques therein as well as many enhancements. SIS serves

Object Recognition from Local Scale-Invariant Features

by David G. Lowe
"... An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in ..."
Abstract - Cited by 2739 (13 self) - Add to MetaCart
in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric deformations by representing blurred image gradients

A Consensus on Second Stage Analyses in Ecological

by Inference Models Christopher, Christopher Adolph, Gary King, Michael C. Herron, Kenneth W. Shotts
"... This paper describes our joint recommendations for how to run second stage ecological regressions, and provides detailed analyses to back up our claims ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper describes our joint recommendations for how to run second stage ecological regressions, and provides detailed analyses to back up our claims
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