are provided as time series; this aspect, along with the high fluctuation of this kind of data, cuts out the use of very efficient classification tools, very popular in the state of the art, like the well known convolutional neural networks (CNNs) models such as Inception, ResNet, AlexNet...
Although time perception is based on the internal representation of time, whether the subjective timeline is scaled linearly or logarithmically remains an open issue. Evidence from previous research is mixed: while the classical internal-clock model assu
Cross-correlation was computed by shifting the IC time series while listening to consonant (a,b) or dissonant (c,d) excerpts; a positive lag indicates that the IC time series precedes the aSTG time series with the specific lag. The difference between the consonant and dissonant music is ...
The measured activity was also correlated against the predicted response to 1000 sets of five randomly selected images. Accuracy of image identification was quantified as the number of hits, which are cases where the predicted responses to the perceived/imagined works of art were more correlated ...
[34], intra-image augmentations of images from the same class are used to enrich the positive example pairs.We think region proposals with different Intersection-overUnion (IoU) for an object are naturally analogous to the intra-image augmentation cropping, as illustrated in Figure 1. Therefore ...
Summarizing the temporal variation in an annual series of contaminant levels, for example as a downward or upward trend, is often complicated by the presen... RJ Fryer,MD Nicholson - 《Ices Journal of Marine Science》 被引量: 251发表: 1993年 Development of a Spatial Analysis Method Using Gro...
For this, an NVIDIA artist traveled to arealramen restaurant in Tokyo and collected over 2,000 high-resolution reference images and videos. Each captured aspects from the kitchen’s distinct areas for cooking, cleaning, food preparation and storage. “We probably used 70% of the existing models...
such as 2D/1D space domain. Most existing efforts focus on describing the local shape geometry using 2D/1D representations, e.g., spin image (SI) [15], rotational projection statistics (RoPS) [16], triple orthogonal local depth images (TOLDI) [8] and rotational contour signatures (RCS) [...
Individual neurons were selected manually from the mean image of each single-trial time series as regions of interest (ROIs). The background-subtracted mean pixel value of each ROI was extracted for both channels and applied to express neuronal calcium signals as relative YFP/CFP ratio change Δ...
Source data are provided as a Source Data file. d Example cortical responses to natural images across trials and days. The last two columns show the average responses of 5 repeats on Day 4 and Day 5. e The dataset, used for training the deep neural network, contains cortical responses to...