… of reconstruction, perception, and classification. Compared to … a latent code to an image,
but also an image to a latent code. … , perception, and classification error in joint source coding …

… how encoding of individual features informs our perception of the … to which neural coding
informs conscious perception. High … Above chance classification for this analysis reflects neural …

… classification, but requires supervised training. To our knowledge, using deep networks for
unsupervised classification … two 0’s are classified as 6 and 2, a 2 is classified as a 4 and a 3 is …

… Although each stage by itself does not implement joint encoding, the final two-stage process
… , a joint (inseparable) component and a separable component that does not jointly code …

… classification field, we model the salient class identification as a binary classification problem
and a … For each questionnaire (corresponding to a commit), we show the source code of the …

… in some downstream task, such as classification [17], [18], or … by jointly optimizing the source
and the channel coding via … align well with the human perception in our optimizations. Past …

… perceived objects to categories represented in memory. We define this process as classification
… will be put on task-dependence of classification as revealed by cross-task comparisons. …

… heterogeneous multi-source multi-modal perception data are … In this paper, data quality of
multi-source multi-modal data is … multi-source multi-modal perception data classification and …

… to jointly optimize source coding and channel coding for … , which is referred to as joint
source-channel coding (JSCC). … called classification accuracy (CA) that evaluate the classification …

… source, reconstruction quality becomes a joint function of the source coding distortion and
channel coding … detection for the joint source and channel coded information is NP-hard in …