Thematische Bibliographien / Temporal grouping / Zeitschriftenartikel
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Zeitschriftenartikel zum Thema „Temporal grouping“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 18. Februar 2022

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1

Aydın, Murat, Michael H. Herzog, and Haluk Öğmen. "Attention modulates spatio-temporal grouping." Vision Research 51, no. 4 (February 2011): 435–46. http://dx.doi.org/10.1016/j.visres.2010.12.013.

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2

Hermens, Frouke, Frank Scharnowski, and Michael H. Herzog. "Spatial grouping determines temporal integration." Journal of Experimental Psychology: Human Perception and Performance 35, no. 3 (2009): 595–610. http://dx.doi.org/10.1037/a0013706.

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3

Nicol, Jeffrey R., and David I. Shore. "Perceptual grouping impairs temporal resolution." Experimental Brain Research 183, no. 2 (July 17, 2007): 141–48. http://dx.doi.org/10.1007/s00221-007-1034-9.

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4

Blake, R., and S. H. Lee. "Temporal precision of visual grouping from temporal structure." Journal of Vision 2, no. 7 (March 15, 2010): 233. http://dx.doi.org/10.1167/2.7.233.

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5

Stefanics, Gábor, Gábor Háden, Minna Huotilainen, László Balázs, István Sziller, Anna Beke, Vineta Fellman, and István Winkler. "Auditory temporal grouping in newborn infants." Psychophysiology 44, no. 5 (September 2007): 697–702. http://dx.doi.org/10.1111/j.1469-8986.2007.00540.x.

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6

Guttman, Sharon E., Lee A. Gilroy, and Randolph Blake. "Spatial grouping in human vision: Temporal structure trumps temporal synchrony." Vision Research 47, no. 2 (January 2007): 219–30. http://dx.doi.org/10.1016/j.visres.2006.09.012.

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7

Parmentier, Fabrice B. R., Murray T. Maybery, and Dylan M. Jones. "Temporal grouping in auditory spatial serial memory." Psychonomic Bulletin & Review 11, no. 3 (June 2004): 501–7. http://dx.doi.org/10.3758/bf03196602.

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8

Liu, Yang S., and Jeremy B. Caplan. "Temporal grouping and direction of serial recall." Memory & Cognition 48, no. 7 (July 23, 2020): 1295–315. http://dx.doi.org/10.3758/s13421-020-01049-x.

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9

Farid, H. "Temporal synchrony in perceptual grouping: a critique." Trends in Cognitive Sciences 6, no. 7 (July 1, 2002): 284–88. http://dx.doi.org/10.1016/s1364-6613(02)01927-7.

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10

Prince, Jon B., and Tim Rice. "Regularity and dimensional salience in temporal grouping." Journal of Experimental Psychology: Human Perception and Performance 44, no. 9 (September 2018): 1356–67. http://dx.doi.org/10.1037/xhp0000542.

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11

Liu, Andrew S. K., Joji Tsunada, Joshua I. Gold, and Yale E. Cohen. "Temporal Integration of Auditory Information Is Invariant to Temporal Grouping Cues." eneuro 2, no. 2 (March 2015): ENEURO.0077–14.2015. http://dx.doi.org/10.1523/eneuro.0077-14.2015.

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12

Hitch, Graham J., Neil Burgess, John N. Towse, and Vicki Culpin. "Temporal Grouping Effects in Immediate Recall: A Working Memory Analysis." Quarterly Journal of Experimental Psychology Section A 49, no. 1 (February 1996): 116–39. http://dx.doi.org/10.1080/713755609.

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The presence of temporal pauses during list presentation can markedly improve immediate memory for a sequence of verbal items. A series of experiments analysed this effect using Baddeley's (1986) model of working memory. Experiment 1 showed that the effect of temporal grouping on memory for visual sequences was removed by either articulatory suppression or reciting random digits. Experiment 2 indicated that effects of temporal grouping were insensitive to the word length of the items. Experiment 3 showed that articulatory suppression did not remove the temporal grouping effect for auditory lists. Experiment 4 showed that the temporal grouping effect was insensitive to the phonemic similarity of the items. The effects of concurrent articulation suggest that grouping influences the phonological loop component of working memory. However, the working memory model is insufficiently well specified to account for the insensitivity of grouping effects to word length and phonemic similarity. The main findings could be simulated by a connectionist model of the phonological loop, which invokes a context timing signal (Burgess & Hitch, 1992, in press), This assumed that pauses during list presentation affect the timing signal in a similar way to the pause before list presentation and made some novel predictions.
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13

Yarrow, Kielan, Warrick Roseboom, and Derek H. Arnold. "Spatial grouping resolves ambiguity to drive temporal recalibration." Journal of Experimental Psychology: Human Perception and Performance 37, no. 5 (2011): 1657–61. http://dx.doi.org/10.1037/a0024235.

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14

Guttman, S. E. "Grouping by Temporal Structure: Perceptual Organization Without Awareness?" Journal of Vision 14, no. 10 (August 22, 2014): 810. http://dx.doi.org/10.1167/14.10.810.

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15

Ogmen, H., and M. H. Herzog. "Spatio-temporal integration in grouping-based feature attribution." Journal of Vision 5, no. 8 (September 1, 2005): 960. http://dx.doi.org/10.1167/5.8.960.

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16

Guttman, S. E., L. A. Gilroy, and R. Blake. "Temporal information for spatial grouping: Structure or synchrony?" Journal of Vision 5, no. 8 (September 1, 2005): 967. http://dx.doi.org/10.1167/5.8.967.

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17

Gorin, Simon, Pierre Mengal, and Steve Majerus. "Temporal grouping effects in musical short-term memory." Memory 26, no. 6 (December 11, 2017): 831–43. http://dx.doi.org/10.1080/09658211.2017.1414848.

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18

Combi, Carlo, Matteo Mantovani, Alberto Sabaini, Pietro Sala, Francesco Amaddeo, Ugo Moretti, and Giuseppe Pozzi. "Mining approximate temporal functional dependencies with pure temporal grouping in clinical databases." Computers in Biology and Medicine 62 (July 2015): 306–24. http://dx.doi.org/10.1016/j.compbiomed.2014.08.004.

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19

Burgi, Pierre-Yves, Alan L. Yuille, and Norberto M. Grzywacz. "Probabilistic Motion Estimation Based on Temporal Coherence." Neural Computation 12, no. 8 (August 1, 2000): 1839–67. http://dx.doi.org/10.1162/089976600300015169.

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We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to predict and estimate the motion flows in the image sequence. This temporal grouping can be considered a generalization of the data association techniques that engineers use to study motion sequences. Our temporal grouping theory is expressed in terms of the Bayesian generalization of standard Kalman filtering. To implement the theory, we derive a parallel network that shares some properties of cortical networks. Computer simulations of this network demonstrate that our theory qualitatively accounts for psychophysical experiments on motion occlusion and motion outliers. In deriving our theory, we assumed spatial factorizability of the probability distributions and made the approximation of updating the marginal distributions of velocity at each point. This allowed us to perform local computations and simplified our implementation. We argue that these approximations are suitable for the stimuli we are considering (for which spatial coherence effects are negligible).
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20

Młynarski, Wiktor, and Josh H. McDermott. "Ecological origins of perceptual grouping principles in the auditory system." Proceedings of the National Academy of Sciences 116, no. 50 (November 21, 2019): 25355–64. http://dx.doi.org/10.1073/pnas.1903887116.

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Events and objects in the world must be inferred from sensory signals to support behavior. Because sensory measurements are temporally and spatially local, the estimation of an object or event can be viewed as the grouping of these measurements into representations of their common causes. Perceptual grouping is believed to reflect internalized regularities of the natural environment, yet grouping cues have traditionally been identified using informal observation and investigated using artificial stimuli. The relationship of grouping to natural signal statistics has thus remained unclear, and additional or alternative cues remain possible. Here, we develop a general methodology for relating grouping to natural sensory signals and apply it to derive auditory grouping cues from natural sounds. We first learned local spectrotemporal features from natural sounds and measured their co-occurrence statistics. We then learned a small set of stimulus properties that could predict the measured feature co-occurrences. The resulting cues included established grouping cues, such as harmonic frequency relationships and temporal coincidence, but also revealed previously unappreciated grouping principles. Human perceptual grouping was predicted by natural feature co-occurrence, with humans relying on the derived grouping cues in proportion to their informativity about co-occurrence in natural sounds. The results suggest that auditory grouping is adapted to natural stimulus statistics, show how these statistics can reveal previously unappreciated grouping phenomena, and provide a framework for studying grouping in natural signals.
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21

Guttman, Sharon E., Lee A. Gilroy, and Randolph Blake. "Mixed messengers, unified message: spatial grouping from temporal structure." Vision Research 45, no. 8 (April 2005): 1021–30. http://dx.doi.org/10.1016/j.visres.2004.10.014.

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22

Wallace, Julian M., and Nicholas E. Scott-Samuel. "Spatial versus temporal grouping in a modified Ternus display." Vision Research 47, no. 17 (August 2007): 2353–66. http://dx.doi.org/10.1016/j.visres.2007.05.016.

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23

Morgan, Michael, and Eric Castet. "High temporal frequency synchrony is insufficient for perceptual grouping." Proceedings of the Royal Society of London. Series B: Biological Sciences 269, no. 1490 (March 7, 2002): 513–16. http://dx.doi.org/10.1098/rspb.2001.1920.

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24

Harris, Lara, and Glyn Humphreys. "Temporal grouping modulates ipsilateral capture in right visual neglect." Cognitive Neuropsychology 31, no. 7-8 (October 22, 2014): 584–605. http://dx.doi.org/10.1080/02643294.2014.969691.

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25

Müller, Dagmar, and Erich Schröger. "Temporal grouping affects the automatic processing of deviant sounds." Biological Psychology 74, no. 3 (March 2007): 358–64. http://dx.doi.org/10.1016/j.biopsycho.2006.09.006.

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26

Zhou, Bin, Shaojuan Yang, Ting Zhang, Xin Zhang, and Lihua Mao. "Situational context is important: perceptual grouping modulates temporal perception." Cognitive Processing 16, S1 (July 31, 2015): 443–47. http://dx.doi.org/10.1007/s10339-015-0727-4.

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27

Towse, John N., Graham J. Hitch, and Steven Skeates. "Developmental Sensitivity to Temporal Grouping Effects in Short-term Memory." International Journal of Behavioral Development 23, no. 2 (June 1999): 391–411. http://dx.doi.org/10.1080/016502599383883.

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Four experiments investigate developmental changes in the effect of providing time-based cues to lists for immediate recall. Data both provide a context for adult research and have implications for children’s memory processes. Sets of letters (Experiments 1-3) or numbers (Experiment 4) were presented to children with either regular inter-item temporal intervals (ungrouped lists) or pauses to segment sets (grouped lists). Experiment 1 indicated a developmental shift between 4 and 8 years of age, with an increasing recall bene”t from temporal group structure for visually presented ”xed-length lists. Experiment 2 confirmed the developmental shift with visual presentation using a span procedure, with sensitivity to temporal grouping becoming apparent by the age of 8 years. Experiments 3 and 4 revealed a similar developmental pattern with a span procedure using auditory stimuli. In summary, children capitalise on pauses in visual and auditory material at approximately the same age. There was no evidence that auditory presentation induces a fundamentally different grouping process or precocious strategy use, contrary to some previous accounts. Data are most consistent with the argument that grouping is a relatively late-developing, strategic process.
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28

Rainville, S., and A. Clarke. "Distinct perceptual grouping pathways revealed by temporal carriers and envelopes." Journal of Vision 8, no. 15 (November 1, 2008): 9. http://dx.doi.org/10.1167/8.15.9.

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29

Hitch, Graham J., Neil Burgess, John N. Towse, and Vicki Culpin. "Temporal Grouping Effects in Immediate Recall: A Working Memory Analysis." Quarterly Journal of Experimental Psychology A 49, no. 1 (February 1, 1996): 116–39. http://dx.doi.org/10.1080/027249896392829.

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30

Rappaport, Sarah J., M. Jane Riddoch, and Glyn W. Humphreys. "The grouping benefit in extinction: Overcoming the temporal order bias." Neuropsychologia 49, no. 1 (January 2011): 151–55. http://dx.doi.org/10.1016/j.neuropsychologia.2010.11.011.

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31

Parmentier, Fabrice B. R., Pilar Andrés, Greg Elford, and Dylan M. Jones. "Organization of visuo-spatial serial memory: interaction of temporal order with spatial and temporal grouping." Psychological Research Psychologische Forschung 70, no. 3 (April 21, 2005): 200–217. http://dx.doi.org/10.1007/s00426-004-0212-7.

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32

Vinke, Louis Nicholas, and Arash Yazdanbakhsh. "Lightness induction enhancements and limitations at low frequency modulations across a variety of stimulus contexts." PeerJ 8 (April 23, 2020): e8918. http://dx.doi.org/10.7717/peerj.8918.

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Lightness illusions are often studied under static viewing conditions with figures varying in geometric design, containing different types of perceptual grouping and figure-ground cues. A few studies have explored the perception of lightness induction while modulating lightness illusions continuously in time, where changes in perceived lightness are often linked to the temporal modulation frequency, up to around 2–4 Hz. These findings support the concept of a cut-off frequency for lightness induction. However, another critical change (enhancement) in the magnitude of perceived lightness during slower temporal modulation conditions has not been addressed in previous temporal modulation studies. Moreover, it remains unclear whether this critical change applies to a variety of lightness illusion stimuli, and the degree to which different stimulus configurations can demonstrate enhanced lightness induction in low modulation frequencies. Therefore, we measured lightness induction strength by having participants cancel out any perceived modulation in lightness detected over time within a central target region, while the surrounding context, which ultimately drives the lightness illusion, was viewed in a static state or modulated continuously in time over a low frequency range (0.25–2 Hz). In general, lightness induction decreased as temporal modulation frequency was increased, with the strongest perceived lightness induction occurring at lower modulation frequencies for visual illusions with strong grouping and figure-ground cues. When compared to static viewing conditions, we found that slow continuous surround modulation induces a strong and significant increase in perceived lightness for multiple types of lightness induction stimuli. Stimuli with perceptually ambiguous grouping and figure-ground cues showed weaker effects of slow modulation lightness enhancement. Our results demonstrate that, in addition to the existence of a cut-off frequency, an additional critical temporal modulation frequency of lightness induction exists (0.25–0.5 Hz), which instead maximally enhances lightness induction and seems to be contingent upon the prevalence of figure-ground and grouping organization.
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33

Guttman, S. "Grouping by similarity and temporal structure: Evidence for a common mechanism." Journal of Vision 12, no. 9 (August 10, 2012): 1297. http://dx.doi.org/10.1167/12.9.1297.

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34

Shen, L., L. Chen, and Q. Chen. "Neural correlates of spatio-temporal grouping in bistable apparent motion perception." Journal of Vision 14, no. 10 (August 22, 2014): 800. http://dx.doi.org/10.1167/14.10.800.

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35

Keetels, Mirjam, Jeroen Stekelenburg, and Jean Vroomen. "Auditory grouping occurs prior to intersensory pairing: evidence from temporal ventriloquism." Experimental Brain Research 180, no. 3 (February 6, 2007): 449–56. http://dx.doi.org/10.1007/s00221-007-0881-8.

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36

Cook, Laura A., and David L. Van Valkenburg. "Audio-Visual Organisation and the Temporal Ventriloquism Effect between Grouped Sequences: Evidence That Unimodal Grouping Precedes Cross-Modal Integration." Perception 38, no. 8 (January 1, 2009): 1220–33. http://dx.doi.org/10.1068/p6344.

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Cross-modal grouping interactions between auditory and visual sequences have previously been demonstrated (O'Leary and Rhodes 1984, Perception & Psychophysics33 565–569; Rahne et al 2008, Brain Research1220 118–131). Three experiments were conducted here to determine whether cross-modal interaction precedes unimodal grouping and whether the temporal ventriloquism effect could be found between grouped auditory and visual sequences. We used a repeating four-tone auditory sequence (high–middle–middle–low) where the middle tones could group with either the high tone or the low tone, paired with a sequence of light flashes with a single flash one side and three the other. Experiment 1 showed that the temporal position of the isolated flash in the visual sequence had no effect on which of the auditory tones were perceived as isolated. Experiments 2 and 3 demonstrated that the temporal ventriloquism effect occurs between grouped auditory and visual sequences, as participants reported that the isolated light and tone from grouped visual and auditory sequences seemed to synchronise when they were between 120 and 240 ms apart. These results suggest that unisensory grouping can occur prior to cross-modal interaction.
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37

Rotman, Daniel, Dror Porat, and Gal Ashour. "Optimal Sequential Grouping for Robust Video Scene Detection Using Multiple Modalities." International Journal of Semantic Computing 11, no. 02 (June 2017): 193–208. http://dx.doi.org/10.1142/s1793351x17400086.

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Video scene detection is the task of dividing a video into semantic sections. To perform this fundamental task, we propose a novel and effective method for temporal grouping of scenes using an arbitrary set of features computed from the video. We formulate the task of video scene detection as a generic optimization problem to optimally group shots into scenes, and propose an efficient procedure for solving the optimization problem based on a novel dynamic programming scheme. This unique formulation directly results in a temporally consistent segmentation, and has the advantage of being parameter-free, making it applicable across various domains. We provide detailed experimental results, showing that our algorithm outperforms current state-of-the-art methods. To assess the comprehensiveness of this method even further, we present experimental results testing different types of modalities and their applicability in this formulation.
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38

Sinico, Michele. "The Influences of Perceptual Grouping on the Temporal Dimension of Auditory Events." Procedia - Social and Behavioral Sciences 187 (May 2015): 102–6. http://dx.doi.org/10.1016/j.sbspro.2015.03.020.

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39

Roelfsema, Pieter R., H. Steven Scholte, and Henk Spekreijse. "Temporal constraints on the grouping of contour segments into spatially extended objects." Vision Research 39, no. 8 (April 1999): 1509–29. http://dx.doi.org/10.1016/s0042-6989(98)00222-3.

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40

Bee, Mark. "Temporal and spatial coherence as cues for across-frequency grouping in treefrogs." Journal of the Acoustical Society of America 135, no. 4 (April 2014): 2151. http://dx.doi.org/10.1121/1.4876972.

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41

Lalanne, L., and A. Giersch. "Temporal and spatial grouping: questions derived from studies in patients with schizophrenia." Journal of Vision 10, no. 7 (August 17, 2010): 1395. http://dx.doi.org/10.1167/10.7.1395.

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42

Chen, Lihan, Zhuanghua Shi, and Hermann J. Müller. "Interaction of Perceptual Grouping and Crossmodal Temporal Capture in Tactile Apparent-Motion." PLoS ONE 6, no. 2 (February 23, 2011): e17130. http://dx.doi.org/10.1371/journal.pone.0017130.

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43

Cheadle, S., and M. Usher. "Temporal grouping in figure-ground segregation and the influence of spatial structure." Journal of Vision 9, no. 8 (September 3, 2010): 930. http://dx.doi.org/10.1167/9.8.930.

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44

Rajendran, Vani G., Nicol S. Harper, Benjamin D. Willmore, William M. Hartmann, and Jan W. H. Schnupp. "Temporal predictability as a grouping cue in the perception of auditory streams." Journal of the Acoustical Society of America 134, no. 1 (July 2013): EL98—EL104. http://dx.doi.org/10.1121/1.4811161.

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45

Takegata, Rika, Simone Mariotto Roggia, and István Winkler. "Effects of temporal grouping on the memory representation of inter-tone relationships." Biological Psychology 68, no. 1 (January 2005): 41–60. http://dx.doi.org/10.1016/j.biopsycho.2004.03.020.

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46

Dardzińska-Głębocka, Agnieszka, and Jolanta Pauk. "Mining for Knowledge to Build Decision Support System for Treatment of Plano-Valgus." Solid State Phenomena 199 (March 2013): 49–54. http://dx.doi.org/10.4028/www.scientific.net/ssp.199.49.

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Most children with plano-valgus have flexible arches. There is a lot of controversy regarding the results of treatment with foot orthosis, corrective exercises, etc. We hypothesized that data mining and action rule discovery help to understand the relationships among the treatment factors and measurements in order to better understand plano-valgus treatment and gain new knowledge for predicting treatment success. Sixty eligible plano-valgus children and 50 age-matched control children were recruited for this study. The authors developed a flexible temporal feature retrieval system based on grouping the patients of similar visiting frequencies with connection to an action-rules engine, which consists of four modules: a data grouping device, a temporal feature extraction engine, a decision tree classification device, and an action rules generation device.
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47

Deliege, Irene. "Grouping Conditions in Listening to Music: An Approach to Lerdahl & Jackendoff's Grouping Preference Rules." Music Perception 4, no. 4 (1987): 325–59. http://dx.doi.org/10.2307/40285378.

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Lerdahl and Jackendoff propose a grouping theory that can apply to both the global and the local structures of the process of listening to music. It is a set of rules expressing the intuitive organization of groups in music perception. The "proximity rules" describe the length differences and the "change rules" describe the modifications in the acoustic or temporal state of sound structures, in relation to Gestalt Theory. As such, they propose a testable hypothesis on certain aspects of music perception. Two experiments are reported, which do not go beyond segmentation into two levels of grouping. They compare the grouping behavior of two categories of subjects, nonmusicians and musicians. Four questions are raised: (1) Do the segmentations reported by subjects answer in all respects the predictions of the rules? (2) Are they available to both categories of subjects? (3) Do they cover all grouping situations in music? (4) Are they of equal perceptual salience? The first experiment used material taken from compositions in the Western art music repertoire (Bach to Stravinsky). The second one put the rules in conflict in simple melodic sequences, where a combination of all possible conflicts between pairs of rules was designed. The results show the validity of the rules. Nonmusicians had poorer performances with repertoire music sequences. Yet the two categories of subjects do not show a radically different grouping behavior. New rules are suggested by the segmentations that were not in accordance with the theory. They also show some difficulties for the length rules deriving from the Gestalt Similarity law.
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48

Klink, P. Christiaan, Jorrit S. Montijn, and Richard J. A. van Wezel. "Crossmodal duration perception involves perceptual grouping, temporal ventriloquism, and variable internal clock rates." Attention, Perception, & Psychophysics 73, no. 1 (November 19, 2010): 219–36. http://dx.doi.org/10.3758/s13414-010-0010-9.

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49

Toumoulin, C., and F. Mao. "Spatio-temporal grouping for the formation of vascular segments in coronarography image sequences." Technology and Health Care 5, no. 5 (October 1, 1997): 383–406. http://dx.doi.org/10.3233/thc-1997-5505.

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50

Snir, Guy, and Yaffa Yeshurun. "Temporal grouping enables selection of multiple targets in rapid streams of visual information." Journal of Vision 17, no. 10 (August 31, 2017): 1190. http://dx.doi.org/10.1167/17.10.1190.

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