Automated particle analysis: calcareous microfossils

Mots-clés Automated microscopy [12], Calcareous nannofossils [13], Climate Change [14], Geosciences, general [15], Light microscopy [16], Microfossils [17], morphometry [18], Neural Networks [19], oceanography [20], Paleontology [21], Particle recognition [22], Planktic foraminifera [23], Sedimentology [24], SEM [25] URL de la notice http://okina.univ-angers.fr/publications/ua4072 [26] Collection Developments in Paleoenvironmental Research Lien vers le document http://dx.doi.org/10.1007/1-4020-2122-4_12 [27]

[1]  A. Hecht,et al.  An ecologic model for test size variation in Recent planktonic foraminifera; applications to the fossil record , 1976 .

[2]  Nancy Healy-Williams,et al.  Quantitative image analysys: Application to planktonic foraminiferal paleoecology and evolution , 1984 .

[3]  B. Malmgren,et al.  Application of artificial neural networks to paleoceanographic data , 1997 .

[4]  A. M. Johnston,et al.  Influence of changes in CO2 concentration and temperature on marine phytoplankton 13C/12C ratios: an analysis of possible mechanisms , 1993 .

[5]  Jörg Bollmann,et al.  Morphology and biogeography of Gephyrocapsa coccoliths in Holocene sediments , 1997 .

[6]  H. Schwarcz,et al.  MEASUREMENT OF PARTICLE SHAPE BY FOURIER ANALYSIS , 1969 .

[7]  M. Berthod,et al.  Feasibility study of automatic identification of planktic foraminifera by computer vision , 1996 .

[8]  Peter Alan Swaby,et al.  Integrating Artificial Intelligence and Graphics in a Tool for Microfossil Identification for Use in the Petroleum Industry , 1990 .

[9]  Nancy Healy-Williams,et al.  Fourier shape analysis of Globorotalia truncatulinoides from late Quaternary sediments in the southern Indian Ocean , 1983 .

[10]  Geoffrey Eglinton,et al.  Microfossils and oceanic environments , 1996 .

[11]  D. Dollfus,et al.  Reconnaissance de formes naturelles par des réseaux de neurones artificiels : application au nannoplancton calcaire , 1997 .

[12]  D. Dollfus,et al.  Fat neural network for recognition of position-normalised objects , 1999, Neural Networks.

[13]  J. Kennett,et al.  Globorotalia truncatulinoides as a Paleo-oceanographic Index , 1968, Science.

[14]  Lawrence D. Jackel,et al.  Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.

[15]  MICHAEL KNAPPERTSBUSCH,et al.  MORPHOLOGIC EVOLUTION OF THE COCCOLITHOPHORID CALCIDISCUS LEPTOPORUS FROM THE EARLY MIOCENE TO RECENT , 2000 .

[16]  F. Fueten.  A computer-controlled rotating polarizer stage for the petrographic microscope , 1997 .

[17]  Michael Knappertsbusch,et al.  Morphologic variability of the coccolithophorid Calcidiscus leptoporus in the plankton, surface sediments and from the Early Pleistocene , 1997 .

[18]  Casimir A. Kulikowski,et al.  Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems , 1990 .

[19]  David W. Felix,et al.  An Inexpensive Recording Settling Tube for Analysis of Sands , 1969 .

[20]  Jörg Bollmann,et al.  Response of planktic foraminiferal size to late Quaternary climate change , 2003 .

[21]  Robert J. Schalkoff,et al.  Artificial neural networks , 1997 .

[22]  H. D. Buf,et al.  Automatic diatom identification , 2002 .

[23]  David Lazarus,et al.  Sympatric speciation and phyletic change in Globorotalia truncatulinoides , 1995, Paleobiology.

[24]  Yoshua Bengio,et al.  Convolutional networks for images, speech, and time series , 1998 .

[25]  Michael Knappertsbusch,et al.  A model system approach to biological climate forcing : The example of Emiliania huxleyi , 1993 .

[26]  Björn A. Malmgren,et al.  Climate Zonation in Puerto Rico Based on Principal Components Analysis and an Artificial Neural Network , 1999 .

[27]  Siegfried Brechner.  Automatic coccolith classification and extraction of morphological features in SEM images , 2000 .

[28]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[29]  Jörg Bollmann,et al.  Global calibration of Gephyrocapsa coccolith abundance in Holocene sediments for paleotemperature assessment , 2001 .

[30]  A. Mix,et al.  ENSO-like forcing on oceanic primary production during the Late Pleistocene. , 2001, Science.

[31]  Daniela N. Schmidt,et al.  Size variability in planktic foraminifers , 2002 .

[32]  C. D. Burke,et al.  Recognition of fossil fresh water ostracodes: Fourier shape analysis , 1987 .

[33]  Ah Chung Tsoi,et al.  Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.

[34]  P. Culverhouse,et al.  Automatic classification of field-collected dinoflagellates by artificial neural network , 1996 .

[35]  Michael A. Arbib,et al.  The handbook of brain theory and neural networks , 1995, A Bradford book.

[36]  R. Thunell,et al.  Fourier shape analysis and planktonic foraminiferal evolution; the Neogloboquadrina-Pulleniatina lineages , 1984 .

[37]  Jörg Bollmann,et al.  Determination of absolute coccolith abundances in deep-sea sediments by spiking with microbeads and spraying (SMS-method) , 1999 .

[38]  Scott J. Hill,et al.  Outline extraction of microfossils in reflected light images , 1988 .

[39]  Björn A. Malmgren,et al.  Application of Artificial Neural Networks (ANN) to Primary Production Time-series Data , 2001 .

[40]  R. Ehrlich,et al.  An Exact Method for Characterization of Grain Shape , 1970 .

[41]  Jere H. Lipps,et al.  Fossil prokaryotes and protists , 1993 .

[42]  Paul R. Bown,et al.  Calcareous Nannofossil Biostratigraphy , 1998 .

[43]  Karl K. Turekian,et al.  The Late Cenozoic glacial ages , 1971 .

[44]  Volker Ratmeyer,et al.  A high resolution camera system (ParCa) for imaging particles in the ocean : System design and results from profiles and a three-month deployment , 1996 .

[45]  A. Bé,et al.  Orbulina universa d'Orbigny in the Indian Ocean , 1973 .

[46]  Brian D. Ripley,et al.  Pattern Recognition and Neural Networks , 1996 .

[47]  A.W.G. Duller,et al.  A new approach to automated pollen analysis , 2000 .

[48]  Jörg Bollmann,et al.  Techniques for quantitative analyses of calcareous marine phytoplankton , 2002 .

[49]  Yann LeCun,et al.  Modeles connexionnistes de l'apprentissage , 1987 .