Gaussian process regression (GPR) is a popular tool for nonlinear function approximation. Unfortunately, GPR can be difficult to use in practice due to the O(n) memory and O(n) processing requirements for n training data points. We propose a novel approach to scaling up GPR to handle large datasets using the recent concept of doubly stochastic functional gradients. Our approach relies on the fa...

This paper proposes a probabilistic conic mixture model based on a classification expectation maximization algorithm and applies this algorithm to Ground Penetrating Radar (GPR) spatial data interpretation. Previous work tackling this problem using Hough transform or neural networks for identifying GPR hyperbolae are unsuitable for on-site applications owing to their computational demands and t...

a r t i c l e i n f o At the Late Bronze Age site of Kalavasos-Ayios Dhimitrios in southern Cyprus, the subterranean remains of previously unknown buildings were recently discovered and mapped with ground-penetrating radar (GPR). Though the fine-grained calcareous substrate at the site was not necessarily ideal for GPR—exhibiting a high clay fraction, significant volumetric water content, and s...

determination of the thickness of a mountains glacier like alamkooh is very difficult due to its extremely cold climate conditions and high elevation, risk of falling large snow segments or balls and coarse topography of the glacier. in this research, due to the transparency of ice for electromagnetic (em) waves, and also, that ground penetrating radar (gpr) method is non-destructive, fast and ...

-Detecting subsurface objects by using GroundPenetrating Radar (GPR) has received considerable interest in recent years. In order to interpret radar signals from buried objects, one must have the ability to model a large range of objects, grounds and radar antennas, theoretically or numerically, so that a real GPR system can be simulated. Many investigations have been done for modeling objects ...

This paper presents GPR (Geographic Probabilistic Routing protocol), an opportunistic routing protocol worked between mesh routers in WMNs (Wireless Mesh Networks). In GPR, nodes detect the link condition by probe packets. In order to send a packet, the sender selects a candidate subset. The nodes who successfully received the packet send ACK according to their priority. If there are no ACKs fr...

The primary objective of the work-in-progress reported here is to compare near-surface imaging results using ultra-shallow (upper 3 m) seismic-reflection techniques and ground-penetrating radar (GPR) at an alluvial site near Great Bend, Kansas. Although various seismic and GPR surveys have been used for near-surface imaging, little i s known about how the two techniques might work in concert fo...

However, GPR fails to note that a very similar result giving lqǫ-security was proved earlier in our paper “Another look at HMAC.” GPR acknowledges our main theorem, which gives lǫ-security under a stronger PRF-assumption, but omits any mention of our Corollary 10.3, where we proved that lqǫ-security under the weaker assumption follows from the theorem. GPR can correctly claim that their result ...

Directional decomposition of GPR data is possible when multi-component multi-offset GPR data is available on a surface. The decomposed wave fields are propagating in the two opposite directions perpendicular to the recording surface. These two decomposed wave fields are related to each other through a reflection operator. This operator represents the reflection response of the medium on the sid...