Search Results - "CHEBIRA, A"

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  1. 1

    Topology preserving STACS segmentation of protein subcellular location images by Coulot, L., Kirschner, H., Chebira, A., Moura, J.M.F., Kovacevic, J., Osuna, E.G., Murphy, R.F.

    “…We present an algorithm for the segmentation of multicell fluorescence microscopy images. Such images abound and a segmentation algorithm robust to different…”
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    Conference Proceeding Journal Article
  2. 2

    EigenMaps: algorithms for optimal thermal maps extraction and sensor placement on multicore processors by Ranieri, Juri, Vincenzi, Alessandro, Chebira, Amina, Atienza, David, Vetterli, Martin

    Published in DAC Design Automation Conference 2012 (03-06-2012)
    “…Chip designers place on-chip sensors to measure local temperatures, thus preventing thermal runaway situations in multicore processing architectures. However,…”
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    Conference Proceeding
  3. 3

    Sampling and reconstruction of time-varying atmospheric emissions by Ranieri, J., Dokmanic, I., Chebira, A., Vetterli, M.

    “…We study the spatio-temporal sampling of physical fields representing the dispersion of a substance in the atmosphere. We consider the following setup: N…”
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    Conference Proceeding
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  5. 5

    Lapped Tight Frame Transforms by Chebira, A., Kovacevic, J.

    “…We propose a new class of equal-norm tight frames termed lapped tight frame transforms (LTFTs). These can be seen as a redundant counterpart to bases known as…”
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    Conference Proceeding
  6. 6

    Life Beyond Bases: The Advent of Frames (Part I) by Kovacevic, J., Chebira, A.

    Published in IEEE signal processing magazine (01-07-2007)
    “…Coming to the end of Part 1, we hope you have a different picture of a frame in your mind from a "picture frame." While necessarily colored by our personal…”
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    Magazine Article
  7. 7

    Life Beyond Bases: The Advent of Frames (Part II) by Kovacevic, J., Chebira, A.

    Published in IEEE signal processing magazine (01-09-2007)
    “…While the first part of this article presented most of the basic theoretical developments of frames, this part is more user friendly. It covers a large number…”
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    Magazine Article
  8. 8

    Adaptive Multiresolution Techniques for Subcellular Protein Location Classification by Srinivasa, G., Merryman, T., Chebira, A., Kovacevic, J., Mintos, A.

    “…We propose an adaptive multiresolution (MR) approach for classification of fluorescence microscopy images of subcellular protein locations, providing…”
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    Conference Proceeding
  9. 9

    A multi-layer system for smart-buildings' functional and energy-efficiency awareness: Implementation on a real five-floors building by Broujeny, Roozbeh Sadeghian, Madani, Kurosh, Chebira, Abdennasser, Hurtard, Laurent

    “…The challenging problem of energy consumption of building, and in a more general way of cities, and its enormous growth due to recent decades' human activities…”
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    Conference Proceeding
  10. 10

    TOWARDS AN IMAGE ANALYSIS TOOLBOX FOR HIGH-THROUGHPUT DROSOPHILA EMBRYO RNAI SCREENS by Kellogg, R.A., Chebira, A., Goyal, A., Cuadra, P.A., Zappe, S.F., Minden, J.S., Kovacevic, J.

    “…We build an image analysis toolbox for high-throughput Drosophila embryo RNAi screens. The goal is to tag the embryo as normal, developmentally delayed or…”
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    Conference Proceeding
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    An Adaptive Multiresolution Approach to Fingerprint Recognition by Chebira, A., Coelho, L.P., Sandryhaila, A., Lin, S., Jenkinson, W.G., MacSleyne, J., Hoffman, C., Cuadra, P., Jackson, C., Puschel, M., Kovacevic, J.

    “…We propose an adaptive multiresolution (MR) approach to the classification of fingerprint images. The system adds MR decomposition in front of a generic…”
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    Conference Proceeding
  13. 13

    Sampling and interpolation of the plenoptic function by Chebira, A., Dragotti, P.L., Sbaiz, L., Vetterli, M.

    “…In this paper, we present reconstruction schemes for the plenoptic function. Using new sampling methods, we show that, for some particular scenes, it is…”
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    Conference Proceeding
  14. 14

    Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity by Hallock, C.A., Ozgunes, I., Bhagavatula, R., Rohde, G.K., Crowley, J.C., Onorato, C.E., Mavalankar, A., Chebira, A., Chuen Hwa Tan, Puschel, M., Kovacevic, J.

    “…We propose a novel method for axonal bouton modeling and automated detection in populations of labeled neurons, as well as bouton distribution analysis for the…”
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    Conference Proceeding
  15. 15

    Frames in bioimaging by Chebira, A., Kovacevic, J.

    “…We survey our work on adaptive multiresolution (MR) approaches to the classification of biological images. The system adds MR decomposition in front of a…”
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    Conference Proceeding
  16. 16

    A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis by Sene, M., Chebira, A., Madani, K.

    “…Compared with parametric classifiers, several advantages set neural networks as privileged approaches to be used as discriminating classifiers in performing…”
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    Conference Proceeding
  17. 17

    Estimating Complexity of Classification Tasks Technology Using Neurocomputers by Budnyk, I., Chebira, A., Madani, K.

    “…This paper presents an alternative approach for estimating task complexity. Construction of a self-organizing neural tree structure, following the paradigm…”
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    Conference Proceeding
  18. 18

    An intelligent adaptive vector control technique using a multi-neural networks based hybrid structure by Madani, K., Chebira, A., Depecker, J.-C., Mercier, G.

    “…One of the most important tasks for a machine control process is the system identification. To identify varying parameters which are dependent to speed,…”
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    Conference Proceeding
  19. 19

    Tree-Like Multiple Neural Network Models Generator with a Complexity Estimation Based Decomposer by Madani, K., Chebira, A., Rybnik, M., Bouyoucef, E.-K.

    “…In this article we present a self-organizing hybrid modular approach that is aimed at reduction of processing task complexity by decomposition of an initially…”
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    Conference Proceeding
  20. 20

    On board data fusion and decision system used for obstacle detection: a network and a real time approach by Chebira, A., Reynaud, R., Maurin, T., Berschandy, D.

    “…The paper describes a system and an algorithm used for multi-sensorial data fusion. The primary goal is to meet real time constraints with perspectives of low…”
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    Conference Proceeding