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  • 1
    Electronic Resource
    Electronic Resource
    Human natriuretic peptide receptor-A guanylyl cyclase is self-associated prior to hormone binding (1992)
    s.l. : American Chemical Society
    Biochemistry 31 (1992), S. 10421-10425 
    Details
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/bi00158a001
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  • 2
    Electronic Resource
    Electronic Resource
    The Disulfide Linkages and Glycosylation Sites of the Human Natriuretic Peptide Receptor-C Homodimer (1994)
    s.l. : American Chemical Society
    Biochemistry 33 (1994), S. 11372-11381 
    Details
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/bi00203a036
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  • 3
    Electronic Resource
    Electronic Resource
    Gene expression analysis by transcript profiling coupled to a gene database query (1999)
    [s.l.] : Nature America Inc.
    Nature biotechnology 17 (1999), S. 798-803 
    Details
    ISSN: 1546-1696
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: [Auszug] We describe an mRNA profiling technique for determining differential gene expression that utilizes, but does not require, prior knowledge of gene sequences. This method permits high-throughput reproducible detection of most expressed sequences with a sensitivity of greater than 1 part in ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/11743
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  • 4
    Electronic Resource
    Electronic Resource
    Membrane guanylate cyclase is a cell-surface receptor with homology to protein kinases (1988)
    [s.l.] : Nature Publishing Group
    Nature 334 (1988), S. 708-712 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Table 1 Immunoprecipitation of guanylate cyclase activity with anti-sera to synthetic peptide and purified 160K protein Rabbit serum pmol cGMP$ Peptide antiserum* 1,000 Preimmune 230 160K protein antiserum t 7,050 Preimmune 110 * For ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/334708a0
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  • 5
    Electronic Resource
    Electronic Resource
    Differential activation by atrial and brain natriuretic peptides of two different receptor guanylate cyclases (1989)
    [s.l.] : Nature Publishing Group
    Nature 341 (1989), S. 68-72 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] In the course of screening a human placental complementary DNA library for ANP-A receptor clones5, we identified a cDNA encoding a protein homologous to the ANP-A receptor, which we have termed the ANP-B receptor. The nucleotide- and predicted amino-acid sequence of the ANP-B receptor is shown in ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/341068a0
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  • 6
    Electronic Resource
    Electronic Resource
    A membrane form of guanylate cyclase is an atrial natriuretic peptide receptor (1989)
    [s.l.] : Nature Publishing Group
    Nature 338 (1989), S. 78-83 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Using as probe a cDNA encoding the membrane form of guanylate eyclase from the sea urchin Arbacia punctulata6, we isolated partial-length putative guanylate cyclase clones from FIG. 1 Nucleotide sequence and predicted amino acid sequence of rat brain guanylate cyclase cDNA. Nucleotides and amino ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/338078a0
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  • 7
    Electronic Resource
    Electronic Resource
    Probabilistic Models of Appearance for 3-D Object Recognition (2000)
    Springer
    International journal of computer vision 40 (2000), S. 149-167 
    Details
    ISSN: 1573-1405
    Keywords: object recognition ; appearance representation ; model-based vision ; visual learning ; clustering ; model indexing
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses probability distributions to describe the range of possible variation in the object's appearance. These distributions are organized on two levels. Large variations are handled by partitioning training images into clusters corresponding to distinctly different views of the object. Within each cluster, smaller variations are represented by distributions characterizing uncertainty in the presence, position, and measurements of various discrete features of appearance. Many types of features are used, ranging in abstraction from edge segments to perceptual groupings and regions. A matching procedure uses the feature uncertainty information to guide the search for a match between model and image. Hypothesized feature pairings are used to estimate a viewpoint transformation taking account of feature uncertainty. These methods have been implemented in an object recognition system, OLIVER. Experiments show that OLIVER is capable of learning to recognize complex objects in cluttered images, while acquiring models that represent those objects using relatively few views.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1026502202780
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  • 8
    Electronic Resource
    Electronic Resource
    The viewpoint consistency constraint (1987)
    Springer
    International journal of computer vision 1 (1987), S. 57-72 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The viewpoint consistency constraint requires that the locations of all object features in an image must be consistent with projection from a single viewpoint. The application of this constraint is central to the problem of achieving robust recognition, since it allows the spatial information in an image to be compared with prior knowledge of an object's shape to the full degree of available image resolution. In addition, the constraint greatly reduces the size of the search space during model-based matching by allowing a few initial matches to provide tight constraints for the locations of other model features. Unfortunately, while simple to state, this constraint has seldom been effectively applied in model-based computer vision systems. This paper reviews the history of attempts to make use of the viewpoint consistency constraint and then describes a number of new techniques for applying it to the process of model-based recognition. A method is presented for probabilistically evaluating new potential matches to extend and refine an initial viewpoint estimate. This evaluation allows the model-based verification process to proceed without the expense of backtracking or search. It will be shown that the effective application of the viewpoint consistency constraint, in conjunction with bottom-up image description based upon principles of perceptual organization, can lead to robust three-dimensional object recognition from single gray-scale images.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00128526
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  • 9
    Electronic Resource
    Electronic Resource
    Robust model-based motion tracking through the integration of search and estimation (1992)
    Springer
    International journal of computer vision 8 (1992), S. 113-122 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A computer vision system has been developed for real-time motion tracking of 3-D objects, including those with variable internal parameters. This system provides for the integrated treatment of matching and measurement errors that arise during motion tracking. These two sources of error have very different distributions and are best handled by separate computational mechanisms. These errors can be treated in an integrated way by using the computation of variance in predicted feature measurements to determine the probability of correctness for each potential matching feature. In return, a best-first search procedure uses these probabilities to find consistent sets of matches, which eliminates the need to treat outliers during the analysis of measurement errors. The most reliable initial matches are used to reduce the parameter variance on further iterations, minimizing the amount of search required for matching more ambiguous features. These methods allow for much larger frame-to-frame motions than most previous approaches. The resulting system can robustly track models with many degrees of freedom while running on relatively inexpensive hardware. These same techniques can be used to speed verification during model-based recognition.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00127170
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  • 10
    Electronic Resource
    Electronic Resource
    Organization of smooth image curves at multiple scales (1989)
    Springer
    International journal of computer vision 3 (1989), S. 119-130 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract While edge detection is an important first step for many vision systems, the linked lists of edge points produced by most existing edge detectors lack the higher level of curve description needed for many visual tasks. For example, they do not specify the tangent direction or curvature of an edge or the locations of tangent discontinuities. In this paper, a method is presented for describing linked edge points at a range of scales by selecting intervals of the curve and scales of smoothing that are most likely to represent the underlying structure of the scene. This multiscale analysis of curves is complementary to any multiscale detection of the original edge points. A solution is presented for the problem of shrinkage of curves during Gaussian smoothing, which has been a significant impediment to the use of smoothing for practical curve description. The curve segmentation method is based on a measure of smoothness minimizing the third derivative of Gaussian convolution. The smoothness measure is used to identify discontinuities of curve tangents simultaneously with selecting the appropriate scale of smoothing. The averaging of point locations during smoothing provides for accurate subpixel curve localization. This curve-description method can be implemented efficiently and should prove practical for a wide range of applications including correspondence matching, perceptual grouping, and model-based recognition.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00126428
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