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Paper8-features-matching.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Features-Matrching.pdf26 Apr 2022: mark edges. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... Ker. nel. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. -
A Clustering Approach to Semantic Decoding Hui Ye and ...
mi.eng.cam.ac.uk/~sjy/papers/yeyo06b20 Feb 2018: Table 2: Performance of template selection. (p=0.8). Y-clustering (p=0.8)#templates 200 400 600 800 1000 1827. -
Learning New Articulator Trajectories for a Speech Production…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf9 Aug 2005: de. f1. f2. 0 100 200. 0.4. 0.2. 0. 0.2. 0.4. ... 0 200 400 600 800 1000. 1.5. 2. 2.5. Training epochs. -
A Modular Q-Learning Architecture for Manipulator Task Decomposition…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/tham_ml94.pdf9 Aug 2005: Successes. Collisions. Figure 4: Performance improvement with training. In thefirst 200 cycles, only the three elemental tasks were pre-sented to the agent. ... During the first 200 cycles, the Q and gating modules wereupdated in every time-step. -
SPOKEN LANGUAGE UNDERSTANDING FROM UNALIGNED DATA USINGDISCRIMINATIVE …
mi.eng.cam.ac.uk/~sjy/papers/mgjk09.pdf20 Feb 2018: Usingapproximately 250 linear support vector machine classifiers imple-mented in Java on a Quadcore Pentium 2.4 GHz, each utterance wasparsed in less than 200 ms on average, for both evaluation -
An attention based model for off-topic spontaneous spoken response ...
mi.eng.cam.ac.uk/~ar527/malinin_slate2017.pdf15 Jun 2018: The proposed relevance assessment model was implementedin Tensorflow [27]. It consists of 2 BiRNN encoders with400 LSTM recurrent units with hyperbolic tangent (TanH) non-linearities, 200 for the forward states and ... embeddings. Thebinary classifier -
lect3_pres.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lect3_pres.pdf10 Nov 2015: 100 200 300 400 500 600 700 800500. 1000. 1500. 2000. -
CU-HTK April 2002 Switchboard System Phil Woodland, Gunnar Evermann,…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_rt02.pdf5 Jun 2002: MPE Training Results (I). Train eval98 eval98 changeMLE 41.8 46.6 –MMIE 30.1 44.3 -2.3MMIE (τ =200) 32.2 43.8 -2.8MPE (τ =50) 27.9 ... Train eval98 eval98 changeMLE baseline 47.2 45.6 –MMIE 37.7 41.8 -3.8MMIE (τ =200) 35.8 41.4 -4.2MPE (τ =100) 34 -
References [1] Control-DAG: Constrained decoding for…
mi.eng.cam.ac.uk/~wjb31/PUBS/29 Apr 2024: References. [1] Control-DAG: Constrained decoding for non-autoregressive directed acyclic T5 using weighted finite state automata, Jinghong Chen, Weizhe Lin, Jingbiao Mei, and Bill Byrne, 2024. To appear at NAACL’24. The Directed Acyclic -
DYNAMIC RESOLUTION SELECTIONIN ULTRASONIC STRAIN IMAGING J. E.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr566.pdf29 Sep 2006: 8. 0 100 200 300 400 500 600. 0. 0.2. 0.4. ... ovar. ianc. e. window length = 50250500. (a). 0 100 200 300 400 5000.
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