Search

Search Funnelback University

Search powered by Funnelback
61 - 80 of 300 search results for KaKaoTalk:po03 op |u:mi.eng.cam.ac.uk where 0 match all words and 300 match some words.
  1. Results that match 1 of 2 words

  2. MVA'94 IAPR Workshop on Machine Vision Applications Dec. 13-15,…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1994-MVA-pointing.pdf
    13 Mar 2018: Performance. By observing feedback from the robot, the op- erator is able to position the gripper to within lcm: sufficient accuracy to instruct it to pick up n small wootlcn Ilock
  3. 13 Mar 2018: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP
  4. 9 Aug 2005: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP
  5. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_self-calibration.pdf
    10 Aug 1999: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms
  6. main.dvi

    mi.eng.cam.ac.uk/~sjy/papers/ywss05.pdf
    20 Feb 2018: ruleset = ruledef";" { ruledef ";" } {dbasefile}ruledef = lassdef | lexdef lassdef = lassinst "->" [sub lass [ lassbody [ ond [prob lassbody = "(" [opt member { "," [opt member } ")"lexdef = lassinst "=" "(" atom[prob {"|" atom[prob ")"prob = "{"
  7. 20 Feb 2018: Note that the reward model and the dialogue policy are being jointly op-timised during the sequence of dialogues.
  8. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf
    19 Mar 2006: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.
  9. A NEURAL NETWORK BASED, SPEAKER INDEPENDENT, LARGE…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wernicke_eurospeech93.pdf
    9 Aug 2005: 1.3. ComputingThe HMM-ANN approach is very computationally expensive.The networks currently require about 1013 floating point op-erations to train and future estimates of the required computepower is one
  10. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf
    13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.
  11. 9 Aug 2005: b)yogP_SYjEogZEV=FPWnco,o4o%PSpNV]acV=V]ZRoMLV j@oMRQ6NHTVV=b)oP_SRaRKP_aOaQTLYVqtKZnSaQTLYV )@=KgZNVOSV]¢HZEV=SKWog6To,rsVqtT<j Ë!TtqÍFNnKZnS. ... O<_OJKMLONHPRQTSUWVX[ZHQ6MV]P_QTacb dfZEUgQ6ZEV=V]PRQ6ZEU hiV]jnKP_aRLYV]ZHaâk8VrHZQTrKgV]j@oP_acDM«
  12. 22 Nov 2006: Theseallow high-dimensional kernel feature-spaces to be de-fined and calculated using only simple transducer op-erations on discrete sequences (or lattices) of observa-tions.
  13. 9 Aug 2005: l>SZ'C< 3)OP@j- /);@)f;@!;@j7r) V h[H&M5@)(Af)(>-@ 5 I "HI@EHH)&O})(47)7O;<<?@)(9jAf @@Af3)VX C 3 I"j#f@B < f@C# ... Hl@H-)( (B )(.>#B 4P47(#;47(,4> '6:>o6; H(# q>9Km>o. @#>19I. #AY[>oP>o6;-<V<>_$@E3SRTA6CSÇ4(-Vdf)(T3)&H-mKMC (-"!IC5O})(/H-)( &)(&J!
  14. yu.dvi

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/ky_ICASSP06.pdf
    23 Feb 2006: HU }. Various levels of informationcan be propagated. 1. No information: The lower bound for allU utterances is op-timised.
  15. Learning New Articulator Trajectories for a Speech Production…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf
    9 Aug 2005: This minimal amount of parameter optimisation per iteration was necessary to ensure smooth convergence to an op-timal set of input values, and the MSE decreased during training from 1.5007
  16. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    8 Aug 2005: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  17. THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/rs_ICASSP06.pdf
    23 Feb 2006: The op-erating point selected for this work was to use the 1 hour of Englishdata from the TDT4 Mandarin source, along with 10 hours of datafrom the TDT4 English data.
  18. SSVM_LVCSR.dvi

    mi.eng.cam.ac.uk/~mjfg/sxz_TASLP12.pdf
    19 Oct 2012: ALGORITHM WITHOUT /WITH OP TIMIS ING θ AND 1-S LACK ALGORITHMSWITHOUT/WITH GAUS S IAN P RIOR(A LG.
  19. Automatic Face Recognition for Film Character Retrieval in…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper2.pdf
    8 Aug 2005: 2.5.1 Improving Registration. In the registration method proposed in Section 2.2, the op-timal warp parameters were estimated from 3 point corre-spondences in 2D.
  20. Towards Qualitative Vision: Motion Parallax Andrew Blake, Roberto…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1990-BMVC-parallax.pdf
    13 Mar 2018: 22WVlA = -V2U. (4). Here V and V2 are dimensionless projection op-erators involving combinations of projections intoimage and surface tangent planes.
  21. An Investigation into the Interactions betweenSpeaker Diarisation…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf
    9 Oct 2003: The first, called ”who spoke when”consists of automatically producing a series of start/end time marks with associated speaker (and op-tionally gender) labels. ... The RT-03s diarisation evaluation focused only on producing a segmentation with

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.