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This involves rewriting algorithms to run on parallel processors, but should improve the efficiency of automatic frame recognition software.
Our approach is intended to frame recognition memory decisions in the same framework as value-based decision-making models, and we sought to adopt the conventions of these models.
In a similar vein, a collaboration with researchers at Lawrence Livermore Lab is working on increasing the speed of programs for automatic frame recognition, using inexpensive parallel processors which are commonly used for modern video gaming systems.
In vitro experiments show that mutations in the UAGUC sequence immediately upstream of the resume codon affect frame recognition.
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In order to further analyze the results, we have also considered per-frame recognition rates.
The majority rule and discrete HMM (DHMM) rule accumulate single-frame face recognition results, while continuous density HMM (CDHMM) works directly with the PCA facial features of the video segment for accumulated maximum likelihood (ML) decision.
Figure 12 Target recognition results (frame by frame) for eight sequences (1000 m range) (we down-sampled 1000 frames to 500 frames for display purposes).
We refer exclusively to the help-seeking interval as, it has been argued that framing non-recognition of symptoms as an example of delay is merely an analytical construct based on biomedical understandings of symptomatology that bears little relation to individual experience and belief [ 45].
In today's fast moving world, the time frame for giving recognition keeps getting smaller.
The MOD message invokes the most optimal SN's camera in the network for in-time MO image frame capturing and recognition.
Word Error Rate (WER) % Adult voices Older voices -value Overall 28.7 38.6.001 Male 28.7 37.9.001 Female 28.2 41.3.001 Table 11 Likelihood scores (Negative log likelihood per frame) and Correct recognition percentages of all the phonemes (see Figures 6 and 7).
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