Throughout this chapter, when we talk about an image, we mean a digital image that is a rectangular array of pixels, the values of which represent the average color in a square area around the location of pixel. Each pixel could hold a scalar value representing intensity or a triplet repre...
Hippocampal place cells represent the position of a rodent within an environment. In addition, recent experiments show that the CA1 subfield of a passive observer also represents the position of a conspecific performing a spatial task. However, whether this representation is allocentric, egocentric or...
Java: Dealing with OutOfMemory Exception When Converting Large Files to Base64 Representation So convert it to a simple binary download, and stream it out; possibly throttled for large, The thing is we have to get the actual file from path before converting it., get the actual file convert...
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For optional SRID encoding in EWKT adapt the example for WKB. encoder = WKB::TextEncoder.new encoder.flavor # => WKB::Flavor::Basic point2D = WKB::Point.new([1.0, 2.0]) encoder.encode(point2D) # => "POINT(1.0 2.0)" io = IO::Memory.new encoder.encode(point2D) point3D = WKB:...
Both heuristics greatly reduce the number of strings (string count, SC) as well as the total amount of characters in the strings (cumulative length, CL) required to store ak-mer set. The reduction in CL directly relates to a lower memory consumption for storing a set of strings, but also...
Average time shifts of place cells are generally larger compared to grid cells and also increase with place field sizes. Moreover, time horizons display nonlinear modulation by the animal’s trajectories in relation to the local boundaries and locomotion cues. Finally, long and short time horizons...
Object recognition in the natural world usually occurs in the presence of multiple surrounding objects, but responses of neurons in inferotemporal (IT) cortex, the large brain area responsible for object recognition, have mostly been studied only to isolated objects. We study rules governing response...
In graph-level representation learning tasks, graph neural networks have received much attention for their powerful feature learning capabilities. However, with the increasing scales of graph data, how to efficiently process and extract the key information has become the focus of research. The graph ...
14. The computer-implemented method of claim 1, wherein at least one of the steps of receiving, identifying, processing, mapping, computing, and updating is performed on a virtual machine comprising a portion of a graphics processing unit. 15. A system, comprising: a memory that stores a fi...