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TO APPEAR IN THE 27TH IEEE INTERNATIONAL WORKSHOP ON ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/Cotter-1709.01355-MLSP_2017.pdf28 Dec 2018: S0 : (64 2J) (64 2J) 3 = 4 4 3S1 : 4 4 (LJ) = 4 4 24. ... Fig. 2. Visualization of a random subset of features from S0 (all 3), S1 (6 from the 24) and S2 (16 from the 240) scatteringoutputs. -
Accepted in 11th IMA International Conference on Mathematics in ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/Singh-1702.03345-IMA_Math_in_SP_2016.pdf28 Dec 2018: Table. 1 shows that the multi-resolutionscattering architecture with region non-linearity and log non-linearity produces the lowest classification error of 24.32%. ... Table 5. Classification error (%) comparison on GlassDataset Proposed ScatNet [1] KVQ -
GENERATIVE SCATTERNET HYBRID DEEP LEARNING (G-SHDL) NETWORK…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/Singh-1802.03374-ICASSP_2018.pdf28 Dec 2018: Dataset G-SHDL Semi Unsup SupSB [14] 78.21 77.76 [23] 68.1 [24] 80.2 [25]. ... 24] Coates et al., “Learning feature representations with k-means,” NIPS, 2010. -
To Appear in the IEEE International Conference on Computer ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/Singh-1708.09259-ICCV_Workshop_2017.pdf28 Dec 2018: 8 28.3A-3: 4Conv-3FCon 62.2 57.4 51.0 46.8 40.1 35.1 29.2 24.2AS-3:DTS-3Conv-3FCon 56.8 54.9 ... 24th International Conference on MachineLearning, pages 759–766, 2007. [24] A. Razavian, H. -
Chapter 1
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/BIA23/BAYESIAN_MODELLING_FOR_INCLUSIVE_DESIGN_UNDER_HEALTH_AND_SITUATIONAL_INDUCED_IMPAIRMENTS_AN_OVERVIEW_.pdf23 Mar 2018: will present HCI challenges to interaction designers (24, 27). Challenges. range from: network latencies, and lack of them; processing limitations;. ... Int J Hum Comput Interaction. 2012;28:576-96. [24] Domingo MC. An overview of the internet of things
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